2 papers
cs.CV2025
Reducing Variability of Multiple Instance Learning Methods for Digital Pathology
Ali Mammadov, Loïc Le Folgoc, Guillaume Hocquet +1
Digital pathology has revolutionized the field by enabling the digitization of tissue samples into whole slide images (WSIs). However, the high resolution and large size of WSIs pr…
cs.CV2025
Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study
Ali Mammadov, Loic Le Folgoc, Julien Adam +4
Multiple Instance Learning (MIL) has emerged as the best solution for Whole Slide Image (WSI) classification. It consists of dividing each slide into patches, which are treated as…