Cell-type-specific nuclear morphology predicts genomic instability and prognosis in multiple cancer types
J. Abel, S. Jain, D. Rajan, H. Padigela, K. Leidal, A. Prakash, J. Conway, M. Nercessian, C. Kirkup, S. A. Javed, R. Biju, N. Harguindeguy, D. Shenker, N. Indorf, D. Sanghavi, , A. Taylor-Weiner
The paper develops a deep learning pipeline for nucleus segmentation and featurization in cancer histology, linking nuclear morphology to genomic instability and prognosis across multiple cancer types.
bioRxiv · May 15, 2023 · PreprintCancer Biology