103-Automated Cell Classification on H&E images

Paper Talk · Sep 29, 2025 · 22m

This article introduces a novel experimental and computational approach for automated cell annotation and classification on standard hematoxylin and eosin (H&E) stained histopathology images, circumventing the need for error-prone human annotations. This method involves co-registering H&E images with multiplexed immunofluorescence (mIF) of the same tissue section to establish high-quality, large-scale ground truth labels for millions of cells based on lineage protein markers. A deep learning model incorporating self-supervised learning and domain adaptation is then trained to classify four…