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ashpakshaikh26732 / Medical-Segmentation-Decathlon

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SOTA 3D Medical Segmentation framework (UNET++, TransUNET , SwimTransUNET) in TensorFlow. Fully TPU-optimized with a 3-stage OHEM pipeline for the Medical Segmentation Decathlon (MSD).

computer-vision deep-learning tensorflow keras medical-imaging msd 3d-segmentation tpu image-segmentation-tensorflow ohem mlops brain-tumour swin-transformer transunet medical-segmentation-decathlon unet-plus-plus
  • Updated Jan 13, 2026
  • Python

dongtingshuo / medical-image-segmentation

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基于 PyTorch 的皮肤病灶分割实验框架，支持 U-Net 系列、Kaggle GPU 训练、评估、可视化与 Gradio。 / Reproducible PyTorch framework for skin lesion segmentation with U-Net models, Kaggle GPU training, evaluation, visualization, and Gradio.

computer-vision deep-learning pytorch kaggle medical-imaging unet gradio semantic-segmentation medical-image-segmentation deeplabv3plus skin-lesion-segmentation attention-unet segmentation-models-pytorch unet-plus-plus
  • Updated Jun 25, 2026
  • Python

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