Deep-learning triage of three-dimensional pathology datasets for comprehensive and efficient pathologist assessments
Year: 2026
Type: article
Source: Nature Biomedical Engineering
Authors: Gan Gao, Renao Yan, Andrew H. Song, Huai-Ching Hsieh, Lindsey A. Erion Barner, Fiona Wang, David Brenes, Sarah S. L. Chow, Rui Wang, Kevin W. Bishop, Yongjun Liu, Xavier Farre, Mukul Divatia, Michelle R. Downes, Funda Vakar-Lopez, Priti Lal, Wynn Burke, Anant Madabhushi, Lawrence D. True, Deepti M. Reddi, William M. Grady, Faisal Mahmood, Jonathan T. C. Liu
Institutions: University of Washington, Stanford Medicine, Stanford University, The University of Texas MD Anderson Cancer Center, Harvard University, Mass General Brigham, Sunnybrook Health Science Centre, University of Pennsylvania, Fred Hutch Cancer Center, Georgia Institute of Technology, Emory University, The Wallace H. Coulter Department of Biomedical Engineering, Atlanta VA Medical Center, Broad Institute, Dana-Farber Cancer Institute
Language: English
Topic: AI in cancer detection
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: closed
Funder: National Institutes of Health
OpenAlex ID: W7202283401