BROW/Slide-level multi-class subtyping task /feature_extract----error_code???
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464hee commented
I keep a question about the image processing pipeline of extract_features.py, why is it necessary to use transforms.CenterCrop((224,224)) instead of transforms.Resize((224,224)) in the feature extraction, @wustone1995
464hee commented
wustone1995 commented
In the slide-level-subtyping task, we employed a multiple instance learning framework, which necessitates the cropping of the original WSI images. The patch size is approximately 224, where the information acquired through center-cropping and resizing remains similar. This is one of the approaches adopted in the experiments.
464hee commented
ok