Work

Visualizing Radiologic Connections: An Explainable Coarse-to-Fine Foundation Model with Multiview Mammograms and Associated Reports

Year: 2025

Type: article

Source: Radiology Artificial Intelligence

DOI: 10.1148/ryai.240646

Authors: Yuan Gao, Hong-Yu Zhou, Xin Wang, Antonio Portaluri, Tianyu Zhang, Regina Beets-Tan, Luyi Han, Chunyao Lu, Laura Estacio, Anna D’Angelo, Stephan Ursprung, Yizhou Yu, Jonas Teuwen, Tao Tan, Ritse Mann

Institutions: Radboud University Nijmegen, Maastricht University Medical Centre, Radboud University Medical Center, The Netherlands Cancer Institute, Maastricht University, Harvard University, Tsinghua University, Agostino Gemelli University Polyclinic, Istituti di Ricovero e Cura a Carattere Scientifico, University of Tübingen, University of Hong Kong, Macao Polytechnic University

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: closed

Funder: China Scholarship Council

Awards: G2236705978, G2277037927, G4206186215

OpenAlex ID: W4417433258

FWCI:

Cites: 30

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