[
  {
    "Dice": 0.826,
    "Hausdorff Distance (mm)": 60,
    "code_links": [
      {
        "title": "simongraham/dsf-cnn",
        "url": "https://github.com/simongraham/dsf-cnn"
      }
    ],
    "date": "2020-04-06",
    "date2": 20200406,
    "model": "DSF-CNN (C8)",
    "paper": {
      "title": "Dense Steerable Filter CNNs for Exploiting Rotational Symmetry in Histology Images",
      "url": "https://cknow.io/lib/5f87a269c3284343"
    },
    "paper_data_uoa": "5f87a269c3284343"
  },
  {
    "Dice": 0.76,
    "Hausdorff Distance (mm)": 50.9,
    "code_links": [
      {
        "title": "tensorflow/models",
        "url": "https://github.com/tensorflow/models"
      },
      {
        "title": "facebookresearch/detectron",
        "url": "https://github.com/facebookresearch/detectron"
      },
      {
        "title": "matterport/Mask_RCNN",
        "url": "https://github.com/matterport/Mask_RCNN"
      },
      {
        "title": "facebookresearch/maskrcnn-benchmark",
        "url": "https://github.com/facebookresearch/maskrcnn-benchmark"
      },
      {
        "title": "tensorpack/tensorpack",
        "url": "https://github.com/tensorpack/tensorpack/tree/master/examples/FasterRCNN"
      },
      {
        "title": "tryolabs/luminoth",
        "url": "https://github.com/tryolabs/luminoth"
      },
      {
        "title": "TuSimple/mx-maskrcnn",
        "url": "https://github.com/TuSimple/mx-maskrcnn"
      },
      {
        "title": "jremillard/images-to-osm",
        "url": "https://github.com/jremillard/images-to-osm"
      },
      {
        "title": "jasjeetIM/Mask-RCNN",
        "url": "https://github.com/jasjeetIM/Mask-RCNN"
      },
      {
        "title": "bethgelab/siamese-mask-rcnn",
        "url": "https://github.com/bethgelab/siamese-mask-rcnn"
      },
      {
        "title": "crowdai/crowdai-mapping-challenge-mask-rcnn",
        "url": "https://github.com/crowdai/crowdai-mapping-challenge-mask-rcnn"
      },
      {
        "title": "ayoolaolafenwa/PixelLib",
        "url": "https://github.com/ayoolaolafenwa/PixelLib"
      },
      {
        "title": "DeNA/Chainer_Mask_R-CNN",
        "url": "https://github.com/DeNA/Chainer_Mask_R-CNN"
      },
      {
        "title": "jianing-sun/Mask-YOLO",
        "url": "https://github.com/jianing-sun/Mask-YOLO"
      },
      {
        "title": "Lopezurrutia/DSB_2018",
        "url": "https://github.com/Lopezurrutia/DSB_2018"
      },
      {
        "title": "lichengunc/mask-faster-rcnn",
        "url": "https://github.com/lichengunc/mask-faster-rcnn"
      },
      {
        "title": "waspinator/deep-learning-explorer",
        "url": "https://github.com/waspinator/deep-learning-explorer"
      },
      {
        "title": "itsasimiqbal/SeBRe",
        "url": "https://github.com/itsasimiqbal/SeBRe"
      },
      {
        "title": "AKASH2907/bird-species-classification",
        "url": "https://github.com/AKASH2907/bird-species-classification"
      },
      {
        "title": "AKASH2907/bird_species_classification",
        "url": "https://github.com/AKASH2907/bird_species_classification"
      },
      {
        "title": "yczhang1017/SSD_resnet_pytorch",
        "url": "https://github.com/yczhang1017/SSD_resnet_pytorch"
      },
      {
        "title": "KMnP/fashionpedia-api",
        "url": "https://github.com/KMnP/fashionpedia-api"
      },
      {
        "title": "MIC-DKFZ/RegRCNN",
        "url": "https://github.com/MIC-DKFZ/RegRCNN"
      },
      {
        "title": "MIC-DKFZ/DetectionAndRegression",
        "url": "https://github.com/MIC-DKFZ/DetectionAndRegression"
      },
      {
        "title": "pvdhove/owl-mask-rcnn",
        "url": "https://github.com/pvdhove/owl-mask-rcnn"
      },
      {
        "title": "CarstenIsert/DeepBurn",
        "url": "https://github.com/CarstenIsert/DeepBurn"
      },
      {
        "title": "collectionslab/Omniscribe",
        "url": "https://github.com/collectionslab/Omniscribe"
      },
      {
        "title": "collectionslab/book-annotation-classification",
        "url": "https://github.com/collectionslab/book-annotation-classification"
      },
      {
        "title": "collectionslab/annotations-computervision",
        "url": "https://github.com/collectionslab/annotations-computervision"
      },
      {
        "title": "RaiyaniNirav/Mask-R-CNN-for-water-detection",
        "url": "https://github.com/RaiyaniNirav/Mask-R-CNN-for-water-detection"
      },
      {
        "title": "maxfrei750/DeepParticleNet",
        "url": "https://github.com/maxfrei750/DeepParticleNet"
      },
      {
        "title": "guanfuchen/py-faster-rcnn",
        "url": "https://github.com/guanfuchen/py-faster-rcnn"
      },
      {
        "title": "lixiaolei1982/DenseNet-base-Mask-RCNN-for-Human-Pose-Estimation",
        "url": "https://github.com/lixiaolei1982/DenseNet-base-Mask-RCNN-for-Human-Pose-Estimation"
      },
      {
        "title": "Mrnoorsingh/car-parking",
        "url": "https://github.com/Mrnoorsingh/car-parking"
      },
      {
        "title": "lucylow/salty-wet-man",
        "url": "https://github.com/lucylow/salty-wet-man"
      },
      {
        "title": "delldu/MaskRCNN",
        "url": "https://github.com/delldu/MaskRCNN"
      },
      {
        "title": "stanleycelestin1/AirsimDetectron",
        "url": "https://github.com/stanleycelestin1/AirsimDetectron"
      },
      {
        "title": "jooyounghun/AI-Team-5",
        "url": "https://github.com/jooyounghun/AI-Team-5"
      },
      {
        "title": "chuanqichen/deepcoaching",
        "url": "https://github.com/chuanqichen/deepcoaching"
      },
      {
        "title": "quocdat32461997/Mask_RCNN",
        "url": "https://github.com/quocdat32461997/Mask_RCNN"
      },
      {
        "title": "noelcodes/Mask_RCNN",
        "url": "https://github.com/noelcodes/Mask_RCNN"
      },
      {
        "title": "ColdNoodler/py-faster-rcnn-cuda10",
        "url": "https://github.com/ColdNoodler/py-faster-rcnn-cuda10"
      },
      {
        "title": "kdethoor/panoptictorch",
        "url": "https://github.com/kdethoor/panoptictorch"
      },
      {
        "title": "NiravRaiyani/Mask-R-CNN-for-water-detection",
        "url": "https://github.com/NiravRaiyani/Mask-R-CNN-for-water-detection"
      },
      {
        "title": "ravenwritingdesk/py-faster-rcnn-master",
        "url": "https://github.com/ravenwritingdesk/py-faster-rcnn-master"
      },
      {
        "title": "DivJAth/DeepLearning5922",
        "url": "https://github.com/DivJAth/DeepLearning5922"
      },
      {
        "title": "fdac18/ForensicImages",
        "url": "https://github.com/fdac18/ForensicImages"
      },
      {
        "title": "baodi23/hourglass-facekeypoints-detection",
        "url": "https://github.com/baodi23/hourglass-facekeypoints-detection"
      },
      {
        "title": "phtruongan/py-faster-rcnn-docker",
        "url": "https://github.com/phtruongan/py-faster-rcnn-docker"
      },
      {
        "title": "o-evgeny/MRCNN_DeepFashion2",
        "url": "https://github.com/o-evgeny/MRCNN_DeepFashion2"
      },
      {
        "title": "GH3927/Mask-RCNN-applied-to-cranes",
        "url": "https://github.com/GH3927/Mask-RCNN-applied-to-cranes"
      },
      {
        "title": "qilei123/pyfasterrcnn",
        "url": "https://github.com/qilei123/pyfasterrcnn"
      },
      {
        "title": "zhangchi9/Airbus_Ship_Detection",
        "url": "https://github.com/zhangchi9/Airbus_Ship_Detection"
      },
      {
        "title": "harrybolingot/mymaskrcnn",
        "url": "https://github.com/harrybolingot/mymaskrcnn"
      },
      {
        "title": "sunqiangxtcsun/faster-rcnn",
        "url": "https://github.com/sunqiangxtcsun/faster-rcnn"
      },
      {
        "title": "lincaiming/py-faster-rcnn-windows",
        "url": "https://github.com/lincaiming/py-faster-rcnn-windows"
      },
      {
        "title": "kbardool/mrcnn3",
        "url": "https://github.com/kbardool/mrcnn3"
      },
      {
        "title": "leochangzliao/OPBM",
        "url": "https://github.com/leochangzliao/OPBM"
      },
      {
        "title": "Arthur-Shi/py-faster-rcnn",
        "url": "https://github.com/Arthur-Shi/py-faster-rcnn"
      },
      {
        "title": "rickyHong/py-faster-rcnn-repl",
        "url": "https://github.com/rickyHong/py-faster-rcnn-repl"
      },
      {
        "title": "BlackAngel1111/Fast-RCNN",
        "url": "https://github.com/BlackAngel1111/Fast-RCNN"
      },
      {
        "title": "cokowpublic/Nuclei-Segmentation",
        "url": "https://github.com/cokowpublic/Nuclei-Segmentation"
      },
      {
        "title": "qq330488563/TEST",
        "url": "https://github.com/qq330488563/TEST"
      },
      {
        "title": "fsafe/Capstone",
        "url": "https://github.com/fsafe/Capstone"
      },
      {
        "title": "xunhen/py-faster-rcnn-wjc",
        "url": "https://github.com/xunhen/py-faster-rcnn-wjc"
      },
      {
        "title": "charlesYangM/py-faster-rcnn-80.28",
        "url": "https://github.com/charlesYangM/py-faster-rcnn-80.28"
      },
      {
        "title": "busyboxs/faster_rcnn_voc",
        "url": "https://github.com/busyboxs/faster_rcnn_voc"
      },
      {
        "title": "jiajunhua/facebookresearch-Detectron",
        "url": "https://github.com/jiajunhua/facebookresearch-Detectron"
      },
      {
        "title": "godspeedcurry/lung-nodule-detection",
        "url": "https://github.com/godspeedcurry/lung-nodule-detection"
      },
      {
        "title": "cwbabel/faster-cnn",
        "url": "https://github.com/cwbabel/faster-cnn"
      },
      {
        "title": "zly9844/py-faster-rcnn",
        "url": "https://github.com/zly9844/py-faster-rcnn"
      },
      {
        "title": "soulguy/Faster-rcnn",
        "url": "https://github.com/soulguy/Faster-rcnn"
      },
      {
        "title": "Rakeshvd/Semantic-Segmenation-of-MRI-scan-using-Mask-RCNN",
        "url": "https://github.com/Rakeshvd/Semantic-Segmenation-of-MRI-scan-using-Mask-RCNN"
      },
      {
        "title": "evaristr/py-faster_rcnn",
        "url": "https://github.com/evaristr/py-faster_rcnn"
      },
      {
        "title": "xzabg/faster-rcnn-with-Caltech",
        "url": "https://github.com/xzabg/faster-rcnn-with-Caltech"
      },
      {
        "title": "rickyHong/py-faster-rcnn-repl-cudnn5-support",
        "url": "https://github.com/rickyHong/py-faster-rcnn-repl-cudnn5-support"
      },
      {
        "title": "UPCLJ/py-faster-rcnn",
        "url": "https://github.com/UPCLJ/py-faster-rcnn"
      },
      {
        "title": "lincaiming/py-faster-rcnn-update",
        "url": "https://github.com/lincaiming/py-faster-rcnn-update"
      },
      {
        "title": "beassssry/U",
        "url": "https://github.com/beassssry/U"
      },
      {
        "title": "chihyanghsu0805/object_detection_yolo",
        "url": "https://github.com/chihyanghsu0805/object_detection_yolo"
      },
      {
        "title": "busyboxs/What-I-have-star",
        "url": "https://github.com/busyboxs/What-I-have-star"
      },
      {
        "title": "zhong110020/py-faster-rcnn",
        "url": "https://github.com/zhong110020/py-faster-rcnn"
      },
      {
        "title": "sbetageri/MaskRCNN",
        "url": "https://github.com/sbetageri/MaskRCNN"
      },
      {
        "title": "leonardhan1979/fasterRCNN",
        "url": "https://github.com/leonardhan1979/fasterRCNN"
      }
    ],
    "date": "2017-03-20",
    "date2": 20170320,
    "model": "Mask R-CNN (e)",
    "paper": {
      "title": "Mask R-CNN",
      "url": "https://cknow.io/lib/e0c718ae2fd447e9"
    },
    "paper_data_uoa": "e0c718ae2fd447e9"
  },
  {
    "Dice": 0.758,
    "Hausdorff Distance (mm)": 47.8,
    "code_links": [
      {
        "title": "zhixuhao/unet",
        "url": "https://github.com/zhixuhao/unet"
      },
      {
        "title": "milesial/Pytorch-UNet",
        "url": "https://github.com/milesial/Pytorch-UNet"
      },
      {
        "title": "qubvel/segmentation_models",
        "url": "https://github.com/qubvel/segmentation_models"
      },
      {
        "title": "divamgupta/image-segmentation-keras",
        "url": "https://github.com/divamgupta/image-segmentation-keras"
      },
      {
        "title": "jakeret/tf_unet",
        "url": "https://github.com/jakeret/tf_unet"
      },
      {
        "title": "LeeJunHyun/Image_Segmentation",
        "url": "https://github.com/LeeJunHyun/Image_Segmentation"
      },
      {
        "title": "orobix/retina-unet",
        "url": "https://github.com/orobix/retina-unet"
      },
      {
        "title": "ternaus/TernausNetV2",
        "url": "https://github.com/ternaus/TernausNetV2"
      },
      {
        "title": "bigmb/Unet-Segmentation-Pytorch-Nest-of-Unets",
        "url": "https://github.com/bigmb/Unet-Segmentation-Pytorch-Nest-of-Unets"
      },
      {
        "title": "yassouali/pytorch_segmentation",
        "url": "https://github.com/yassouali/pytorch_segmentation"
      },
      {
        "title": "xamyzhao/brainstorm",
        "url": "https://github.com/xamyzhao/brainstorm"
      },
      {
        "title": "Media-Smart/vedaseg",
        "url": "https://github.com/Media-Smart/vedaseg"
      },
      {
        "title": "mateuszbuda/brain-segmentation-pytorch",
        "url": "https://github.com/mateuszbuda/brain-segmentation-pytorch"
      },
      {
        "title": "minerva-ml/open-solution-mapping-challenge",
        "url": "https://github.com/minerva-ml/open-solution-mapping-challenge"
      },
      {
        "title": "rezazad68/BCDU-Net",
        "url": "https://github.com/rezazad68/BCDU-Net"
      },
      {
        "title": "ZFTurbo/ZF_UNET_224_Pretrained_Model",
        "url": "https://github.com/ZFTurbo/ZF_UNET_224_Pretrained_Model"
      },
      {
        "title": "jvanvugt/pytorch-unet",
        "url": "https://github.com/jvanvugt/pytorch-unet"
      },
      {
        "title": "EdwardTyantov/ultrasound-nerve-segmentation",
        "url": "https://github.com/EdwardTyantov/ultrasound-nerve-segmentation"
      },
      {
        "title": "andrewowens/multisensory",
        "url": "https://github.com/andrewowens/multisensory"
      },
      {
        "title": "ImagingLab/Colorizing-with-GANs",
        "url": "https://github.com/ImagingLab/Colorizing-with-GANs"
      },
      {
        "title": "manideep2510/eye-in-the-sky",
        "url": "https://github.com/manideep2510/eye-in-the-sky"
      },
      {
        "title": "ugent-korea/pytorch-unet-segmentation",
        "url": "https://github.com/ugent-korea/pytorch-unet-segmentation"
      },
      {
        "title": "vbelz/Speech-enhancement",
        "url": "https://github.com/vbelz/Speech-enhancement"
      },
      {
        "title": "TobiasGruening/ARU-Net",
        "url": "https://github.com/TobiasGruening/ARU-Net"
      },
      {
        "title": "koshian2/OctConv-TFKeras",
        "url": "https://github.com/koshian2/OctConv-TFKeras"
      },
      {
        "title": "preritj/segmentation",
        "url": "https://github.com/preritj/segmentation"
      },
      {
        "title": "pietz/unet-keras",
        "url": "https://github.com/pietz/unet-keras"
      },
      {
        "title": "perslev/MultiPlanarUNet",
        "url": "https://github.com/perslev/MultiPlanarUNet"
      },
      {
        "title": "nikhilroxtomar/UNet-Segmentation-in-Keras-TensorFlow",
        "url": "https://github.com/nikhilroxtomar/UNet-Segmentation-in-Keras-TensorFlow"
      },
      {
        "title": "YudeWang/UNet-Satellite-Image-Segmentation",
        "url": "https://github.com/YudeWang/UNet-Satellite-Image-Segmentation"
      },
      {
        "title": "lRomul/argus-tgs-salt",
        "url": "https://github.com/lRomul/argus-tgs-salt"
      },
      {
        "title": "hycis/TensorGraph",
        "url": "https://github.com/hycis/TensorGraph"
      },
      {
        "title": "qsyao/cuda_spatial_deform",
        "url": "https://github.com/qsyao/cuda_spatial_deform"
      },
      {
        "title": "vqdang/xy_net",
        "url": "https://github.com/vqdang/xy_net"
      },
      {
        "title": "vqdang/hover_net",
        "url": "https://github.com/vqdang/hover_net"
      },
      {
        "title": "gvtulder/elasticdeform",
        "url": "https://github.com/gvtulder/elasticdeform"
      },
      {
        "title": "tanyanair/segmentation_uncertainty",
        "url": "https://github.com/tanyanair/segmentation_uncertainty"
      },
      {
        "title": "ternaus/angiodysplasia-segmentation",
        "url": "https://github.com/ternaus/angiodysplasia-segmentation"
      },
      {
        "title": "1044197988/TF.Keras-Commonly-used-models",
        "url": "https://github.com/1044197988/TF.Keras-Commonly-used-models"
      },
      {
        "title": "Jack-Etheredge/Brain-Tumor-Segmentation-3D-UNet-CNN",
        "url": "https://github.com/Jack-Etheredge/Brain-Tumor-Segmentation-3D-UNet-CNN"
      },
      {
        "title": "pydsgz/DeepVOG",
        "url": "https://github.com/pydsgz/DeepVOG"
      },
      {
        "title": "nithi89/unet_darknet",
        "url": "https://github.com/nithi89/unet_darknet"
      },
      {
        "title": "JosephPB/XNet",
        "url": "https://github.com/JosephPB/XNet"
      },
      {
        "title": "jakeret/unet",
        "url": "https://github.com/jakeret/unet"
      },
      {
        "title": "cosmic-cortex/pytorch-UNet",
        "url": "https://github.com/cosmic-cortex/pytorch-UNet"
      },
      {
        "title": "LilyHu/image_segmentation_chromosomes",
        "url": "https://github.com/LilyHu/image_segmentation_chromosomes"
      },
      {
        "title": "fepegar/unet",
        "url": "https://github.com/fepegar/unet"
      },
      {
        "title": "sraashis/ature",
        "url": "https://github.com/sraashis/ature"
      },
      {
        "title": "sraashis/deepdyn",
        "url": "https://github.com/sraashis/deepdyn"
      },
      {
        "title": "chinakook/U-Net",
        "url": "https://github.com/chinakook/U-Net"
      },
      {
        "title": "vlievin/Unet",
        "url": "https://github.com/vlievin/Unet"
      },
      {
        "title": "ubamba98/Brain-Segmentation",
        "url": "https://github.com/ubamba98/Brain-Segmentation"
      },
      {
        "title": "ankit-ai/GAN_breast_mammography_segmentation",
        "url": "https://github.com/ankit-ai/GAN_breast_mammography_segmentation"
      },
      {
        "title": "FelixGruen/tensorflow-u-net",
        "url": "https://github.com/FelixGruen/tensorflow-u-net"
      },
      {
        "title": "IAmSuyogJadhav/Brainy",
        "url": "https://github.com/IAmSuyogJadhav/Brainy"
      },
      {
        "title": "raun1/MICCAI2018---Complementary_Segmentation_Network-Raw-Code",
        "url": "https://github.com/raun1/MICCAI2018---Complementary_Segmentation_Network-Raw-Code"
      },
      {
        "title": "raun1/Complementary_Segmentation_Network-Raw-Code-Available-Under-Construction-",
        "url": "https://github.com/raun1/Complementary_Segmentation_Network-Raw-Code-Available-Under-Construction-"
      },
      {
        "title": "pvjosue/LFMNet",
        "url": "https://github.com/pvjosue/LFMNet"
      },
      {
        "title": "raun1/MICCAI2018---Complementary_Segmentation_Network-Raw-Code-Available-Under-Construction-",
        "url": "https://github.com/raun1/MICCAI2018---Complementary_Segmentation_Network-Raw-Code-Available-Under-Construction-"
      },
      {
        "title": "mrvturan96/Brain-Tumor-Detection-and-Segmentation-using-Deep-Learning",
        "url": "https://github.com/mrvturan96/Brain-Tumor-Detection-and-Segmentation-using-Deep-Learning"
      },
      {
        "title": "K-Mike/Automatic-salt-deposits-segmentation",
        "url": "https://github.com/K-Mike/Automatic-salt-deposits-segmentation"
      },
      {
        "title": "alexklibisz/deep-calcium",
        "url": "https://github.com/alexklibisz/deep-calcium"
      },
      {
        "title": "galprz/brain-tumor-segemntation",
        "url": "https://github.com/galprz/brain-tumor-segemntation"
      },
      {
        "title": "BenjiKCF/Superesolution-and-watermark-removal",
        "url": "https://github.com/BenjiKCF/Superesolution-and-watermark-removal"
      },
      {
        "title": "xahidbuffon/SUIM-Net",
        "url": "https://github.com/xahidbuffon/SUIM-Net"
      },
      {
        "title": "plesqui/4d-cbct",
        "url": "https://github.com/plesqui/4d-cbct"
      },
      {
        "title": "a-martyn/unet",
        "url": "https://github.com/a-martyn/unet"
      },
      {
        "title": "Hedgehogues/HoChiMinh",
        "url": "https://github.com/Hedgehogues/HoChiMinh"
      },
      {
        "title": "petko-nikolov/pysemseg",
        "url": "https://github.com/petko-nikolov/pysemseg"
      },
      {
        "title": "xiey1/Nucleus_detection",
        "url": "https://github.com/xiey1/Nucleus_detection"
      },
      {
        "title": "neuropoly/multiclass-segmentation",
        "url": "https://github.com/neuropoly/multiclass-segmentation"
      },
      {
        "title": "TheInfamousWayne/UNet",
        "url": "https://github.com/TheInfamousWayne/UNet"
      },
      {
        "title": "ArkaJU/U-Net-Satellite",
        "url": "https://github.com/ArkaJU/U-Net-Satellite"
      },
      {
        "title": "iibrahimli/unet_sem_seg",
        "url": "https://github.com/iibrahimli/unet_sem_seg"
      },
      {
        "title": "trichtu/ConvLSTM-RAU-net",
        "url": "https://github.com/trichtu/ConvLSTM-RAU-net"
      },
      {
        "title": "upc-postgrads/BrainScan",
        "url": "https://github.com/upc-postgrads/BrainScan"
      },
      {
        "title": "DaloroAT/first_break_picking",
        "url": "https://github.com/DaloroAT/first_break_picking"
      },
      {
        "title": "shenshutao/image_segmentation",
        "url": "https://github.com/shenshutao/image_segmentation"
      },
      {
        "title": "seungjunlee96/U-Net_Lung-Segmentation",
        "url": "https://github.com/seungjunlee96/U-Net_Lung-Segmentation"
      },
      {
        "title": "ChengBinJin/U-Net-TensorFlow",
        "url": "https://github.com/ChengBinJin/U-Net-TensorFlow"
      },
      {
        "title": "YourGc/Unet_jinnan2",
        "url": "https://github.com/YourGc/Unet_jinnan2"
      },
      {
        "title": "tsixta/jnet",
        "url": "https://github.com/tsixta/jnet"
      },
      {
        "title": "koriavinash1/Fetal-Brain-Segmentation",
        "url": "https://github.com/koriavinash1/Fetal-Brain-Segmentation"
      },
      {
        "title": "AICIP-UTK/spacenet-round3",
        "url": "https://github.com/AICIP-UTK/spacenet-round3"
      },
      {
        "title": "Lkruitwagen/remote-sensing-solar-pv",
        "url": "https://github.com/Lkruitwagen/remote-sensing-solar-pv"
      },
      {
        "title": "jtiger958/pytorch-computer-vision-tutorial",
        "url": "https://github.com/jtiger958/pytorch-computer-vision-tutorial"
      },
      {
        "title": "Muthu2093/U-Net-for-Brain-Tumor-Segmentation",
        "url": "https://github.com/Muthu2093/U-Net-for-Brain-Tumor-Segmentation"
      },
      {
        "title": "jqueguiner/camembert-as-a-service",
        "url": "https://github.com/jqueguiner/camembert-as-a-service"
      },
      {
        "title": "jtiger958/pytorch-computer-vision-basic",
        "url": "https://github.com/jtiger958/pytorch-computer-vision-basic"
      },
      {
        "title": "mmarinated/ssl_project",
        "url": "https://github.com/mmarinated/ssl_project"
      },
      {
        "title": "SixQuant/U-Net",
        "url": "https://github.com/SixQuant/U-Net"
      },
      {
        "title": "kamruleee51/Understanding-of-semantic-segmentation-using-CNN",
        "url": "https://github.com/kamruleee51/Understanding-of-semantic-segmentation-using-CNN"
      },
      {
        "title": "melissande/dhi-segmentation-buildings",
        "url": "https://github.com/melissande/dhi-segmentation-buildings"
      },
      {
        "title": "SeonbeomKim/TensorFlow-pix2pix",
        "url": "https://github.com/SeonbeomKim/TensorFlow-pix2pix"
      },
      {
        "title": "IlliaOvcharenko/lung-segmentation",
        "url": "https://github.com/IlliaOvcharenko/lung-segmentation"
      },
      {
        "title": "kamruleee51/Recommendation-for-understanding-of-semantic-segmentation-using-CNN",
        "url": "https://github.com/kamruleee51/Recommendation-for-understanding-of-semantic-segmentation-using-CNN"
      },
      {
        "title": "kilgore92/PyTorch-UNet",
        "url": "https://github.com/kilgore92/PyTorch-UNet"
      },
      {
        "title": "ucuapps/WSMIS",
        "url": "https://github.com/ucuapps/WSMIS"
      },
      {
        "title": "0xzayd/Wnet-cGAN",
        "url": "https://github.com/0xzayd/Wnet-cGAN"
      },
      {
        "title": "seungjunlee96/DeepLearning-for-Medical-Imaging",
        "url": "https://github.com/seungjunlee96/DeepLearning-for-Medical-Imaging"
      },
      {
        "title": "jqueguiner/image-segmentation",
        "url": "https://github.com/jqueguiner/image-segmentation"
      },
      {
        "title": "zampie/unet-colorization-pytorch",
        "url": "https://github.com/zampie/unet-colorization-pytorch"
      },
      {
        "title": "pmcgrath249/DeepCV_Lab",
        "url": "https://github.com/pmcgrath249/DeepCV_Lab"
      },
      {
        "title": "anoushkrit/Knowledge",
        "url": "https://github.com/anoushkrit/Knowledge"
      },
      {
        "title": "paraficial/vae_pancreas_segmentation",
        "url": "https://github.com/paraficial/vae_pancreas_segmentation"
      },
      {
        "title": "lab-midas/med_segmentation",
        "url": "https://github.com/lab-midas/med_segmentation"
      },
      {
        "title": "jiangzhubo/Unet_workshop",
        "url": "https://github.com/jiangzhubo/Unet_workshop"
      },
      {
        "title": "Brainkite/Sketch_Augmented",
        "url": "https://github.com/Brainkite/Sketch_Augmented"
      },
      {
        "title": "pranjalrai-iitd/Fetal-head-segmentation-and-circumference-measurement-from-ultrasound-images",
        "url": "https://github.com/pranjalrai-iitd/Fetal-head-segmentation-and-circumference-measurement-from-ultrasound-images"
      },
      {
        "title": "pmcgrath249/DeepCVLab",
        "url": "https://github.com/pmcgrath249/DeepCVLab"
      },
      {
        "title": "filippogiruzzi/semantic_segmentation",
        "url": "https://github.com/filippogiruzzi/semantic_segmentation"
      },
      {
        "title": "trichtu/Recurrent_Attention_U_net",
        "url": "https://github.com/trichtu/Recurrent_Attention_U_net"
      },
      {
        "title": "shirans/cv_course_project",
        "url": "https://github.com/shirans/cv_course_project"
      },
      {
        "title": "jiandai/mlTst",
        "url": "https://github.com/jiandai/mlTst"
      },
      {
        "title": "gmatasci/SemanticSegmentation",
        "url": "https://github.com/gmatasci/SemanticSegmentation"
      },
      {
        "title": "Jo-dsa/SemanticSeg",
        "url": "https://github.com/Jo-dsa/SemanticSeg"
      },
      {
        "title": "kaichoulyc/course_segmentation",
        "url": "https://github.com/kaichoulyc/course_segmentation"
      },
      {
        "title": "HadiZayer/UNet_pytorch",
        "url": "https://github.com/HadiZayer/UNet_pytorch"
      },
      {
        "title": "PatriciaRodrigues1994/Satellite-Image-Segmentation",
        "url": "https://github.com/PatriciaRodrigues1994/Satellite-Image-Segmentation"
      },
      {
        "title": "sadari1/TumorDetectionDeepLearning",
        "url": "https://github.com/sadari1/TumorDetectionDeepLearning"
      },
      {
        "title": "usnistgov/small-data-cnns",
        "url": "https://github.com/usnistgov/small-data-cnns"
      },
      {
        "title": "napolar/simple_unet",
        "url": "https://github.com/napolar/simple_unet"
      },
      {
        "title": "Hayashi-Yudai/ML_models",
        "url": "https://github.com/Hayashi-Yudai/ML_models"
      },
      {
        "title": "alexromano/nerve-segmentation",
        "url": "https://github.com/alexromano/nerve-segmentation"
      },
      {
        "title": "kwcckw/unet_magnetic_tiles_defects",
        "url": "https://github.com/kwcckw/unet_magnetic_tiles_defects"
      },
      {
        "title": "rishikksh20/ResUnet",
        "url": "https://github.com/rishikksh20/ResUnet"
      },
      {
        "title": "anant1203/Applying-Deep-Learning-for-Large-scale-Quantification-of-Urban-Tree-Cover",
        "url": "https://github.com/anant1203/Applying-Deep-Learning-for-Large-scale-Quantification-of-Urban-Tree-Cover"
      },
      {
        "title": "usnistgov/semantic-segmentation-unet",
        "url": "https://github.com/usnistgov/semantic-segmentation-unet"
      },
      {
        "title": "kvpratama/unet",
        "url": "https://github.com/kvpratama/unet"
      },
      {
        "title": "greatsharma/DeepLearning-Papers-Implementation",
        "url": "https://github.com/greatsharma/DeepLearning-Papers-Implementation"
      },
      {
        "title": "shanglianlm0525/CvPytorch",
        "url": "https://github.com/shanglianlm0525/CvPytorch"
      },
      {
        "title": "shivamkhare95/Unet_graph",
        "url": "https://github.com/shivamkhare95/Unet_graph"
      },
      {
        "title": "yumaloop/kaggle-tgs-salt-competition",
        "url": "https://github.com/yumaloop/kaggle-tgs-salt-competition"
      },
      {
        "title": "massucattoj/unet-model",
        "url": "https://github.com/massucattoj/unet-model"
      },
      {
        "title": "charlychiu/U-Net",
        "url": "https://github.com/charlychiu/U-Net"
      },
      {
        "title": "usnistgov/semantic-segmentation-fc-densenet",
        "url": "https://github.com/usnistgov/semantic-segmentation-fc-densenet"
      },
      {
        "title": "oliverquintana/UnetSegmentation",
        "url": "https://github.com/oliverquintana/UnetSegmentation"
      },
      {
        "title": "sumiya-kuroda/EMsegmentation-mito",
        "url": "https://github.com/sumiya-kuroda/EMsegmentation-mito"
      },
      {
        "title": "SarthakGarg13/Severstal-Steel-Defect-Detection",
        "url": "https://github.com/SarthakGarg13/Severstal-Steel-Defect-Detection"
      },
      {
        "title": "reenal/melanoma-skin-cancer-image-segmentation",
        "url": "https://github.com/reenal/melanoma-skin-cancer-image-segmentation"
      },
      {
        "title": "udacity/MLND-CN-Capstone-TGSImage",
        "url": "https://github.com/udacity/MLND-CN-Capstone-TGSImage"
      },
      {
        "title": "dsandeep0138/UNet-Colorization",
        "url": "https://github.com/dsandeep0138/UNet-Colorization"
      },
      {
        "title": "Violet981/Breast_mass_Segmentation",
        "url": "https://github.com/Violet981/Breast_mass_Segmentation"
      },
      {
        "title": "danielenricocahall/Keras-UNet",
        "url": "https://github.com/danielenricocahall/Keras-UNet"
      },
      {
        "title": "wlstyql/keras_with_mat_for_unet",
        "url": "https://github.com/wlstyql/keras_with_mat_for_unet"
      },
      {
        "title": "jovenwayfarer/pneumonia",
        "url": "https://github.com/jovenwayfarer/pneumonia"
      },
      {
        "title": "pricebenjamin/unet-estimator",
        "url": "https://github.com/pricebenjamin/unet-estimator"
      },
      {
        "title": "jkhadley/capstone-project",
        "url": "https://github.com/jkhadley/capstone-project"
      },
      {
        "title": "sinandeger/RedeemTheBoar",
        "url": "https://github.com/sinandeger/RedeemTheBoar"
      },
      {
        "title": "sremes/a2d2",
        "url": "https://github.com/sremes/a2d2"
      },
      {
        "title": "zhugoldman/CNN-segmentation-for-Lung-cancer-OARs",
        "url": "https://github.com/zhugoldman/CNN-segmentation-for-Lung-cancer-OARs"
      },
      {
        "title": "orientaccio/ku-retina-segmentation",
        "url": "https://github.com/orientaccio/ku-retina-segmentation"
      },
      {
        "title": "vamsi3/pix2pix",
        "url": "https://github.com/vamsi3/pix2pix"
      },
      {
        "title": "c1ph3rr/U-Net-Convolutional-Networks-For-Biomedicalimage-Segmentation",
        "url": "https://github.com/c1ph3rr/U-Net-Convolutional-Networks-For-Biomedicalimage-Segmentation"
      },
      {
        "title": "kcang2/Prune_U-Net",
        "url": "https://github.com/kcang2/Prune_U-Net"
      },
      {
        "title": "Barak123748596/CVDL_course_project",
        "url": "https://github.com/Barak123748596/CVDL_course_project"
      },
      {
        "title": "ruixif/Unet_keras",
        "url": "https://github.com/ruixif/Unet_keras"
      },
      {
        "title": "pvardanis/LevNet",
        "url": "https://github.com/pvardanis/LevNet"
      },
      {
        "title": "goyalyash1224/Nuclei-detection-and-segmentaion",
        "url": "https://github.com/goyalyash1224/Nuclei-detection-and-segmentaion"
      },
      {
        "title": "NicoleEic/Brainhack_Oxbridge",
        "url": "https://github.com/NicoleEic/Brainhack_Oxbridge"
      },
      {
        "title": "GeoDQ/Seismic-image-segmentation",
        "url": "https://github.com/GeoDQ/Seismic-image-segmentation"
      },
      {
        "title": "biss/unet",
        "url": "https://github.com/biss/unet"
      },
      {
        "title": "neshitov/UNet",
        "url": "https://github.com/neshitov/UNet"
      },
      {
        "title": "sigtot/unet-auto",
        "url": "https://github.com/sigtot/unet-auto"
      },
      {
        "title": "shermanhung/U-Net",
        "url": "https://github.com/shermanhung/U-Net"
      },
      {
        "title": "dhiraa/sanjeevani",
        "url": "https://github.com/dhiraa/sanjeevani"
      },
      {
        "title": "MUST-AI-Lab/Pytorch-Unet",
        "url": "https://github.com/MUST-AI-Lab/Pytorch-Unet"
      },
      {
        "title": "ChrisTansey/MP-Practice-Unet-2",
        "url": "https://github.com/ChrisTansey/MP-Practice-Unet-2"
      },
      {
        "title": "namyouth/KAGGLE-data-science-bowl-2018",
        "url": "https://github.com/namyouth/KAGGLE-data-science-bowl-2018"
      },
      {
        "title": "TristansCloud/YellowstonesVegitiation",
        "url": "https://github.com/TristansCloud/YellowstonesVegitiation"
      },
      {
        "title": "YosukeHoshi/surveyed_paper",
        "url": "https://github.com/YosukeHoshi/surveyed_paper"
      },
      {
        "title": "TanyaChutani/U-Net",
        "url": "https://github.com/TanyaChutani/U-Net"
      },
      {
        "title": "oliverz17/Unet_Keras",
        "url": "https://github.com/oliverz17/Unet_Keras"
      },
      {
        "title": "muramasa8191/DeepLearning",
        "url": "https://github.com/muramasa8191/DeepLearning"
      },
      {
        "title": "kaland313/vitmav45-ShipSeakers",
        "url": "https://github.com/kaland313/vitmav45-ShipSeakers"
      },
      {
        "title": "JHLee0513/Salt_detection_challenge",
        "url": "https://github.com/JHLee0513/Salt_detection_challenge"
      },
      {
        "title": "aissakhanov/ML_for_Image_segmentation",
        "url": "https://github.com/aissakhanov/ML_for_Image_segmentation"
      },
      {
        "title": "clemkoa/u-net",
        "url": "https://github.com/clemkoa/u-net"
      },
      {
        "title": "ethanhou99/ml_learn",
        "url": "https://github.com/ethanhou99/ml_learn"
      },
      {
        "title": "ahedayat/U-Net",
        "url": "https://github.com/ahedayat/U-Net"
      },
      {
        "title": "ShaShekhar/Semantic_Segmentation",
        "url": "https://github.com/ShaShekhar/Semantic_Segmentation"
      },
      {
        "title": "DarkGeekMS/Semantic_Segmentation_Models_Keras",
        "url": "https://github.com/DarkGeekMS/Semantic_Segmentation_Models_Keras"
      },
      {
        "title": "Jeongseungwoo/U_net",
        "url": "https://github.com/Jeongseungwoo/U_net"
      },
      {
        "title": "buswinka/HcUnet",
        "url": "https://github.com/buswinka/HcUnet"
      },
      {
        "title": "Hayden2018/Road-Segmentation",
        "url": "https://github.com/Hayden2018/Road-Segmentation"
      },
      {
        "title": "konny0311/unet_segmentation",
        "url": "https://github.com/konny0311/unet_segmentation"
      },
      {
        "title": "rickyHong/UNet-segmentation-pytorch-repl",
        "url": "https://github.com/rickyHong/UNet-segmentation-pytorch-repl"
      },
      {
        "title": "jellevankerk/Team-Challenge",
        "url": "https://github.com/jellevankerk/Team-Challenge"
      },
      {
        "title": "deepanshgoyal33/Papers",
        "url": "https://github.com/deepanshgoyal33/Papers"
      },
      {
        "title": "noornk/U-Net",
        "url": "https://github.com/noornk/U-Net"
      },
      {
        "title": "Linxuxin/Pytorch-UNet-mine",
        "url": "https://github.com/Linxuxin/Pytorch-UNet-mine"
      },
      {
        "title": "mitmedialab/unet4birds",
        "url": "https://github.com/mitmedialab/unet4birds"
      },
      {
        "title": "vmjersey/eidetic_ml",
        "url": "https://github.com/vmjersey/eidetic_ml"
      },
      {
        "title": "aksub99/U-Net-Pytorch",
        "url": "https://github.com/aksub99/U-Net-Pytorch"
      },
      {
        "title": "rahul13ramesh/cloud_understanding",
        "url": "https://github.com/rahul13ramesh/cloud_understanding"
      },
      {
        "title": "yassineAlouini/data-science-bowl-2018",
        "url": "https://github.com/yassineAlouini/data-science-bowl-2018"
      },
      {
        "title": "kritanu82/healthif.ai",
        "url": "https://github.com/kritanu82/healthif.ai"
      },
      {
        "title": "ajoshi944/Segmentation-severstal-steel",
        "url": "https://github.com/ajoshi944/Segmentation-severstal-steel"
      },
      {
        "title": "mariosfourn/ScienceBowl",
        "url": "https://github.com/mariosfourn/ScienceBowl"
      },
      {
        "title": "gundeep15/SCD_AI_Project",
        "url": "https://github.com/gundeep15/SCD_AI_Project"
      },
      {
        "title": "SK124/Semantic-Segmentaion-Using-UNets",
        "url": "https://github.com/SK124/Semantic-Segmentaion-Using-UNets"
      },
      {
        "title": "resonance20/segmenter",
        "url": "https://github.com/resonance20/segmenter"
      },
      {
        "title": "clarencenhuang/dl-colorize",
        "url": "https://github.com/clarencenhuang/dl-colorize"
      },
      {
        "title": "Shumway82/U-Net-Segmentation",
        "url": "https://github.com/Shumway82/U-Net-Segmentation"
      },
      {
        "title": "VideoUpScaler/Video_Up_Scalers",
        "url": "https://github.com/VideoUpScaler/Video_Up_Scalers"
      },
      {
        "title": "kilgore92/Probabalistic-U-Net",
        "url": "https://github.com/kilgore92/Probabalistic-U-Net"
      },
      {
        "title": "shih61/deep-learnging-3d-object-dectation",
        "url": "https://github.com/shih61/deep-learnging-3d-object-dectation"
      }
    ],
    "date": "2015-05-18",
    "date2": 20150518,
    "model": "U-Net (e)",
    "paper": {
      "title": "U-Net: Convolutional Networks for Biomedical Image Segmentation",
      "url": "https://cknow.io/lib/97a74560b8a3e8a2"
    },
    "paper_data_uoa": "97a74560b8a3e8a2"
  }
]