RADIFUSION: a multi-radiomics deep learning based breast cancer risk prediction model using sequential mammographic images with image attention and bilateral asymmetry refinement.

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Bibliographic Details
Title: RADIFUSION: a multi-radiomics deep learning based breast cancer risk prediction model using sequential mammographic images with image attention and bilateral asymmetry refinement.
Authors: Yeoh HH; Department of Electrical and Robotics Engineering, School of Engineering, Monash University Malaysia, Bandar Sunway 47500, Malaysia., Liew A; Department of Electrical and Robotics Engineering, School of Engineering, Monash University Malaysia, Bandar Sunway 47500, Malaysia., Phan R; School of Information Technology, Monash University Malaysia, Bandar Sunway 47500, Malaysia., Strand F; Department of Oncology and Pathology, Karolinska Institute, Solna, Sweden.; Breast Radiology, Karolinska University Hospital, Solna, Sweden., Rahmat K; Department of Biomedical Imaging and University of Malaya Research Imaging Centre, Faculty of Medicine, University of Malaya, 50603 Kuala Lumpur, Malaysia., Nguyen TL; Centre for Epidemiology & Biostatistics, The University of Melbourne School of Population and Global Health, Melbourne, Victoria, Australia., Tan M; Department of Electrical and Robotics Engineering, School of Engineering, Monash University Malaysia, Bandar Sunway 47500, Malaysia.; School of Electrical and Computer Engineering, The University of Oklahoma, Norman, OK 73019, United States of America.
Source: Physics in medicine and biology [Phys Med Biol] 2025 Nov 25; Vol. 70 (23). Date of Electronic Publication: 2025 Nov 25.
Publication Type: Journal Article
Journal Info: Publisher: IOP Publishing Country of Publication: England NLM ID: 0401220 Publication Model: Electronic Cited Medium: Internet ISSN: 1361-6560 (Electronic) Linking ISSN: 00319155 NLM ISO Abbreviation: Phys Med Biol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1361-6560
DOI:10.1088/1361-6560/ae1ee4