whole-slide-cnn:该存储库提供脚本来重现论文“通过深度学习对肺癌类型进行病理学分类的无注释的全幻灯片训练方法”
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2021-05-09
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whole-slide-cnn-main.zip （65个子文件） 
whole-slide-cnn-main 
.gitignore 2KB LICENSE 20KB data_configs test_tcga.csv 64KB test_tcga_tissue.csv 133KB test_alldata.csv 24KB test_adeno.csv 24KB val_refined.csv 3KB val_adeno.csv 10KB train_adeno.csv 88KB val_squamous.csv 10KB test_squamous.csv 24KB train_quarter.csv 22KB train_squamous.csv 88KB train_refined.csv 27KB test_refined.csv 7KB train_alldata.csv 88KB train_eighth.csv 11KB val_dummy.csv 840B val_alldata.csv 10KB test_small_lesion.csv 9KB train_half.csv 44KB tools print_scores.py 1KB compare_auc.R 2KB calc_auc.R 1KB draw_roc.py 2KB gen_bootstrap_aucs.R 2KB README.md 10KB whole_slide_cnn __init__.py 0B dataloader.py 15KB huge_layer_wrapper.py 21KB post_train.py 12KB utils.py 5KB post_train_model.py 3KB test.py 12KB dataset.py 6KB vahadane.py 7KB resnet.py 23KB model.py 4KB train.py 10KB train_configs config_mil_k3_4x.yaml 1KB config_mil_k5_4x.yaml 1KB config_wholeslide_1x.yaml 1KB config_mil_em_4x.yaml 1KB config_mil_k1_4x.yaml 1KB config_wholeslide_4x_eighth.yaml 1KB config_wholeslide_4x_quarter.yaml 1KB config_wholeslide_4x_gap.yaml 1KB config_wholeslide_4x_adeno.yaml 1KB config_wholeslide_10x.yaml 1KB config_wholeslide_4x_resnet34.yaml 1KB config_wholeslide_4x_half.yaml 1KB config_wholeslide_4x.yaml 1KB config_wholeslide_2x.yaml 1KB config_mil_k1_2x.yaml 1KB config_mil_k1_10x.yaml 1KB throughput config_throughput_21500_r50_mil.yaml 1020B config_throughput_21500_r50_wholeslide_noopt.yaml 1KB config_throughput_21500_r50_wholeslide.yaml 1KB config_throughput_11000_r50_wholeslide.yaml 1KB config_throughput_11000_r50_mil.yaml 1020B config_throughput_11000_r50_wholeslide_noopt.yaml 1KB config_wholeslide_4x_squamous.yaml 1KB misc tmuh_vahadane.pkl 134B tcga_vahadane.pkl 134B .gitattributes 118B资源评论
