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Abstract PS3-04-28: Espwa: a deep learning-enabled computational pathology tool that facilitates precision oncology for haitian breast cancer patients

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Year: 2026
Type: conference-abstract
Source: Clinical Cancer Research
DOI: 10.1158/1557-3265.sabcs25-ps3-04-28
Authors: D. Pulido-Arias, R. Henderson, J. Lormil, C. Millien, M. Djenane Jose, G. Flambert, M. Mathelier, M. Corrielus, T. Goncalves, J. Kalpathy-Cramer, E. Gerstner, K. Landgraf, A. Brown, P. Castle, J. Jeronimo, S. Sirintrapun, S. Wander, D. Milner, J. Brock, C. Bridge, A. E. Kim
Institutions: Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging, University of Alabama at Birmingham, UF Health Shands Hospital, University of Florida Health, University of Florida, American Society for Clinical Pathology, National Cancer Institute
Language: English

Topic: AI in cancer detection
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
SDGs: Good health and well-being, Reduced inequalities

Open Access status: closed
OpenAlex ID: W7130694479
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