1254-Pan-Cancer Tumour Segmentation in Whole-Slide Images

Paper Talk · Jul 9, 2026 · 23m

This research introduces a universal deep learning model designed for the automatic segmentation of tumors in digital histopathological images across various cancer types. By training on over 20,000 whole-slide images, the researchers developed a system capable of identifying cancerous regions in colorectal, lung, prostate, and endometrial carcinomas, as well as types not included in the training data like breast cancer. The study demonstrates that a single pan-cancer model performs as effectively as specialized versions while maintaining robustness across different slide scanners and…