Comparative Evaluation of Feature Extractors, Aggregation Strategies, and Classification Hierarchies for Ovarian Cancer Subtype Classification in Whole Slide Images
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Background/Objectives: Multiple instance learning (MIL) is widely used for automated classification of epithelial ovarian cancer subtypes from whole slide images (WSIs), but the relative contributions of feature extractor, aggregation strategy, and classificat... ...
