A new time-decay radiomics integrated network (TRINet) for breast cancer risk prediction.

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Bibliographic Details
Title: A new time-decay radiomics integrated network (TRINet) for breast cancer risk prediction.
Authors: Yeoh HH; Department of Electrical and Robotics Engineering, School of Engineering, 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., Phan R; School of Information Technology, Monash University Malaysia, Bandar Sunway 47500, Malaysia., Rahmat K; Department of Biomedical Imaging and University of Malaya Research Imaging Centre, Faculty of Medicine, University of Malaya, 50603 Kuala Lumpur, Malaysia., 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, USA. Electronic address: Maxine.Tan@monash.edu.
Source: Medical image analysis [Med Image Anal] 2026 Jan; Vol. 107 (Pt B), pp. 103829. Date of Electronic Publication: 2025 Oct 01.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Elsevier Country of Publication: Netherlands NLM ID: 9713490 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1361-8423 (Electronic) Linking ISSN: 13618415 NLM ISO Abbreviation: Med Image Anal Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1361-8423
DOI:10.1016/j.media.2025.103829