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