1 citations · 1 across the 1 of their papers we have counts for
3 papers
eess.IV2024
Distilling High Diagnostic Value Patches for Whole Slide Image Classification Using Attention Mechanism
Tianhang Nan, Hao Quan, Yong Ding +3
Multiple Instance Learning (MIL) has garnered widespread attention in the field of Whole Slide Image (WSI) classification as it replaces pixel-level manual annotation with diagnost…
cs.CV2024
Establishing Causal Relationship Between Whole Slide Image Predictions and Diagnostic Evidence Subregions in Deep Learning
Tianhang Nan, Yong Ding, Hao Quan +4
Due to the lack of fine-grained annotation guidance, current Multiple Instance Learning (MIL) struggles to establish a robust causal relationship between Whole Slide Image (WSI) di…
cs.CV2023★ 1 cited
Dual-channel Prototype Network for few-shot Classification of Pathological Images
Hao Quan, Xinjia Li, Dayu Hu +2
In pathology, the rarity of certain diseases and the complexity in annotating pathological images significantly hinder the creation of extensive, high-quality datasets. This limita…