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szc19990412 / TransMIL

TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classification
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Data Process #34

Open wuxchcandoit opened 10 months ago

wuxchcandoit commented 10 months ago

Hi. Thanks for your great work! May I ask you a question？ In your github, you mentioned that 'we follow the CLAM's WSI processing solution' and the paper mentioned that for dataset CAMELYON16, after pre-processing, a total of about 3.5 million patches at x20 magnification were obtained. However, under the preset file 'bwh_biopsy.csv', following the CLAM's WSI processing solution, we actually process WSI using the downsample closest to 64x downsample (since 'seg_level' in 'bwh_biopsy.csv' is -1 and default patch_level=0) instead of 2x downsample which corresponds to x20 magnification (since 1x downsample corresponds to x40 magnification).

LiuJin629 commented 8 months ago

使用CLAM来进行切图好像有两个问题：第一是倍率不统一问题，第二是好像用.svs的WSI才可以(我用ndpi格式的WSI无法准确识别到组织区域)。