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cs.CV2025
A Multicenter Benchmark of Multiple Instance Learning Models for Lymphoma Subtyping from HE-stained Whole Slide Images
Rao Muhammad Umer, Daniel Sens, Jonathan Noll +12
Timely and accurate lymphoma diagnosis is essential for guiding cancer treatment. Standard diagnostic practice combines hematoxylin and eosin (HE)-stained whole slide images with i…
cs.LG2025
Domain-incremental White Blood Cell Classification with Privacy-aware Continual Learning
Pratibha Kumari, Afshin Bozorgpour, Daniel Reisenbüchler +4
White blood cell (WBC) classification plays a vital role in hematology for diagnosing various medical conditions. However, it faces significant challenges due to domain shifts caus…