Work

Towards Early Detection: AI-Based Five-Year Forecasting of Breast Cancer Risk Using Digital Breast Tomosynthesis Imaging

Year: 2025

Type: conference-paper

Source: Lecture notes in computer science

DOI: 10.1007/978-3-032-05559-0_7

Authors: Manon A. Dorster, Felix J. Dorfner, Mason C. Cleveland, Melisa S. Guelen, Jay Patel, Dania Daye, Jean-Philippe Thiran, Albert E. Kim, Christopher P. Bridge

Institutions: Harvard University, Athinoula A. Martinos Center for Biomedical Imaging, Mass General Brigham, École Polytechnique Fédérale de Lausanne, Humboldt-Universität zu Berlin, Freie Universität Berlin, Charité – Universitätsmedizin Berlin, University of Wisconsin–Madison

Language: English

Topic: AI in cancer detection

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W4414521601

FWCI:

Cites: 13

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Related to: 10