The Tissue Image Analytics (TIA) Centre hosts a seminar series for those interested in computational pathology. The series invites researchers and leaders in computational pathology and related fields to present their work and foster thought-provoking discussions.

This seminar features Dr Yang Hu from University of Leicester, Leicester, UK.

Abstract

Computational pathology is broadly utilized in both diagnosis and biomedical research, offering data-driven approaches to augment traditional histopathological practice. Unlike conventional image analysis, whole slide images (WSIs) present unique challenges due to their extreme size, with weakly supervised learning at the slide level becoming a dominant paradigm. The interplay of multi-scale features, ranging from cellular to tissue-level structures, introduces subtle yet profound influences on the understanding of tissue morphology. In this talk, I will begin by discussing cross-scale feature communication and then turn to the interpretability of patch-level representations in the era of pathology foundation models. Building on this, I will explore how diverse morphological explanations arise and conclude with perspectives on the integration and coordination of multiple foundation models to advance computational pathology.

Bio

Dr Yang Hu is a lecturer at the School of Computing and Mathematical Sciences, University of Leicester, having ended his contract as a Research Scientist at the Nuffield Department of Medicine, University of Oxford. His research focuses on computational pathology, medical image analysis, and the development of lightweight and interpretable artificial intelligence methods.