Lung Nodule Segmentation
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/yumaloop/kaggle-tgs-salt-competition
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/z0978916348/Localization_and_Segmentation
https://github.com/zamnius/uNet-seg-decathlon
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/zampie/Animation-standing-segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/zampie/unet-colorization-pytorch
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/zarif101/blood_cell_segmentation_unet
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/zh320/medical-segmentation-pytorch
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/zhaoxing-zstar/R2UNet-paddle
https://github.com/zhiggins11/Semantic-Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/zhixuhao/unet
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/zhugoldman/CNN-segmentation-for-Lung-cancer-OARs
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/zyning/signalSeparation
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://gitlab.com/casi-project/casi-2d
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://gitlab.com/matzkin/deep-brain-extractor
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://gitlab.com/matzkin/headctools
U-Net: Convolutional Networks for Biomedical Image Segmentation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.