georg-wolflein/good-features
Official code for the paper "A Good Feature Extractor Is All You Need for Weakly Supervised Pathology Slide Classification"
This project helps pathology researchers and computational biologists quickly and accurately classify whole slide images for biomarker prediction. It takes raw, digitized pathology slides as input and outputs classifications based on key features, without needing time-consuming stain normalization or image augmentations. It's designed for anyone working with digital pathology slides who needs to streamline their analysis and improve predictive accuracy for clinical relevance.
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Use this if you are a pathology researcher needing to classify whole slide images based on biomarkers and want to simplify your image preprocessing steps.
Not ideal if your primary goal is patch-level analysis or if you specifically require traditional stain normalization for other research purposes.
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Last pushed
Aug 17, 2024
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