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  • University of Electronic Science and Technology of China
  • Chengdu, Sichuan, China
  • 01:51 (UTC +08:00)

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  1. Adaptive-Region-Specific-Loss Adaptive-Region-Specific-Loss Public

    Thanks for the work by: Chen Y, Yu L, Wang J Y, et al. Adaptive Region-Specific Loss for Improved Medical Image Segmentation.

    Python 6 3

  2. LNQ2023_training_code LNQ2023_training_code Public

    This is the program for my LNQ2023 challenge to train the model and generate docker.

    Python 3

  3. WCODE WCODE Public

    Maybe an easier nnUNet. I change the way to iter data during training leading an easier way to control the dataloader. And part of the codes are directly comes from nnUNet.

    Python 2