The Impact of Feature Extractors on Weakly Supervised Pathology Slide Classification

The author challenges the necessity of stain normalization and image augmentations for weakly supervised whole slide image classification, emphasizing the importance of selecting the best feature extractors. The study identifies Lunit-DINO and CTransPath as the most effective feature extractors for downstream performance.