3 citations · 4 across the 4 of their papers we have counts for
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PathOrchestra: A Comprehensive Foundation Model for Computational Pathology with Over 100 Diverse Clinical-Grade Tasks
Fang Yan, Jianfeng Wu, Jiawen Li +24
The complexity and variability inherent in high-resolution pathological images present significant challenges in computational pathology. While pathology foundation models leveragi…
Unifying Multiple Foundation Models for Advanced Computational Pathology
Wenhui Lei, Yusheng Tan, Anqi Li +7
Foundation models have substantially advanced computational pathology by learning transferable visual representations from large histological datasets, yet their performance varies…
PathoTune: Adapting Visual Foundation Model to Pathological Specialists
Jiaxuan Lu, Fang Yan, Xiaofan Zhang +2
As natural image understanding moves towards the pretrain-finetune era, research in pathology imaging is concurrently evolving. Despite the predominant focus on pretraining patholo…
PathoDuet: Foundation Models for Pathological Slide Analysis of H&E and IHC Stains
Shengyi Hua, Fang Yan, Tianle Shen +2
Large amounts of digitized histopathological data display a promising future for developing pathological foundation models via self-supervised learning methods. Foundation models p…