Abstract: Digital pathology images, particularly whole slide images (WSIs), often contain macro-scale artifacts such as tissue folds, out-of-focus regions, and pen markings that can introduce bias and ...
Abstract: As the predominant approach for pathological whole slide image (WSI) classification, multiple instance learning (MIL) methods struggle with limited labeled WSIs. Although MIL has achieved ...
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