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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.
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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PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: A new time-decay radiomics integrated network (TRINet) for breast cancer risk prediction.
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  Data: <searchLink fieldCode="AU" term="%22Yeoh+HH%22">Yeoh HH</searchLink>; Department of Electrical and Robotics Engineering, School of Engineering, Monash University Malaysia, Bandar Sunway 47500, Malaysia.<br /><searchLink fieldCode="AU" term="%22Strand+F%22">Strand F</searchLink>; Department of Oncology and Pathology, Karolinska Institute, Solna, Sweden; Breast Radiology, Karolinska University Hospital, Solna, Sweden.<br /><searchLink fieldCode="AU" term="%22Phan+R%22">Phan R</searchLink>; School of Information Technology, Monash University Malaysia, Bandar Sunway 47500, Malaysia.<br /><searchLink fieldCode="AU" term="%22Rahmat+K%22">Rahmat K</searchLink>; Department of Biomedical Imaging and University of Malaya Research Imaging Centre, Faculty of Medicine, University of Malaya, 50603 Kuala Lumpur, Malaysia.<br /><searchLink fieldCode="AU" term="%22Tan+M%22">Tan M</searchLink>; 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.
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  Data: <searchLink fieldCode="JN" term="%229713490%22">Medical image analysis</searchLink> [Med Image Anal] 2026 Jan; Vol. 107 (Pt B), pp. 103829. <i>Date of Electronic Publication: </i>2025 Oct 01.
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  Data: Journal Article; Research Support, Non-U.S. Gov't
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier%22">Elsevier </searchLink><i>Country of Publication: </i>Netherlands <i>NLM ID: </i>9713490 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1361-8423 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2213618415%22">13618415 </searchLink><i>NLM ISO Abbreviation: </i>Med Image Anal <i>Subsets: </i>MEDLINE
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        Value: 10.1016/j.media.2025.103829
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      – Code: eng
        Text: English
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      – TitleFull: A new time-decay radiomics integrated network (TRINet) for breast cancer risk prediction.
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            NameFull: Yeoh HH
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            – D: 01
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              Text: 2026 Jan
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              Y: 2026
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            – TitleFull: Medical image analysis
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