Pathoduet: Foundation models for pathological slide analysis of H&E and IHC stains
S Hua, F Yan, T Shen, L Ma, X Zhang - Medical Image Analysis, 2024 - Elsevier
Large amounts of digitized histopathological data display a promising future for developing
pathological foundation models via self-supervised learning methods. Foundation models …
pathological foundation models via self-supervised learning methods. Foundation models …
Review of deep learning-based pathological image classification: From task-specific models to foundation models
H Luan, K Yang, T Hu, J Hu, S Liu, R Li, J He… - Future Generation …, 2024 - Elsevier
Pathological diagnosis is considered the gold standard in cancer diagnosis, playing a
crucial role in guiding treatment decisions and prognosis assessment for patients. However …
crucial role in guiding treatment decisions and prognosis assessment for patients. However …
SlideChat: A Large Vision-Language Assistant for Whole-Slide Pathology Image Understanding
Despite the progress made by multimodal large language models (MLLMs) in computational
pathology, they remain limited by a predominant focus on patch-level analysis, missing …
pathology, they remain limited by a predominant focus on patch-level analysis, missing …
A New Era in Computational Pathology: A Survey on Foundation and Vision-Language Models
D Chanda, M Aryal, NY Soltani, M Ganji - arXiv preprint arXiv:2408.14496, 2024 - arxiv.org
Recent advances in deep learning have completely transformed the domain of
computational pathology (CPath). More specifically, it has altered the diagnostic workflow of …
computational pathology (CPath). More specifically, it has altered the diagnostic workflow of …