172MO Deep learning on histopathological images to predict breast cancer recurrence risk and chemotherapy benefit
Year: 2025
Type: article
Authors: G. Shamai, S. Cohen, Y. Binenbaum, E. Sabo, A. Cretu, C. Mayer, I. Barshack, T. Goldman, G. Bar-Sela, A. PolÓnia, D. Huo, A.T. Pearson, F. Howard, J. Sparano, R. Kimmel, D. Aran
Institutions: Technion – Israel Institute of Technology, Dana-Farber Cancer Institute, Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Carmel Medical Center, Sheba Medical Center, Emek Medical Center, Universidade do Porto, University of Chicago, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai
Language: English
Topic: AI in cancer detection
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $3,170
Funder: Israel Innovation Authority
Award: G4300923818
OpenAlex ID: W4416780861