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U-net

基于U-net的医学影像分割 / pytorch实现

Main Code

  • main.py
    使用Unet模型对ISBI Challenge 2012的数据集（详见dataset）进行训练，并对结果进行预测。
  • unet.py
    Unet模型的pytorch实现
  • DataHelper.py
    此代码中包含函数功能有：
    1、对训练数据、测试数据的读取与矩阵化处理（在'main.py'被转成tensor）
    2、对预测结果的二值化处理

Operating environment

本次实验的环境如下：

  • Ubuntu 16.04
  • python 3.6
  • cuda 9.0
  • pytorch

    需要的第三方模块如下：
  • numpy
  • PIL
  • tqdm
  • skimage

Operation instructions

配置环境之后运行main.py

Sample

Reference

本次实验参考github有
https://github.com/JavisPeng/u_net_liver
https://github.com/zhixuhao/unet
也欢迎查看我的博客

u-net's People

Contributors

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