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shuangran

文件说明

  • histolab_crop.py:从npda文件中获取标注区域,切成256size的patch
  • extract_features.py:使用预训练的resnet50进行patch特征的提取,使用kmeans++进行聚类
  • colorfy_patch.py:对分类好的patch,上色,总共分成四类
  • paste_cluster_patch.py:将上好色的patch,映射至病理图像上
  • analysis_result.py:对聚类的结果进行分析并绘图
  • 其他的为辅助函数

Analysis

采用描述性统计分析,相关性分析,逻辑回归分析

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