2 papers
cs.CV2025
HookMIL: Revisiting Context Modeling in Multiple Instance Learning for Computational Pathology
Xitong Ling, Minxi Ouyang, Xiaoxiao Li +7
Multiple Instance Learning (MIL) has enabled weakly supervised analysis of whole-slide images (WSIs) in computational pathology. However, traditional MIL approaches often lose cruc…
cs.CV2024
Learning to Adapt Foundation Model DINOv2 for Capsule Endoscopy Diagnosis
Bowen Zhang, Ying Chen, Long Bai +5
Foundation models have become prominent in computer vision, achieving notable success in various tasks. However, their effectiveness largely depends on pre-training with extensive…