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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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
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  Data: 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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  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="%22Liew+A%22">Liew A</searchLink>; Department of Electrical and Robotics Engineering, School of Engineering, Monash University Malaysia, Bandar Sunway 47500, Malaysia.<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="%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="%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="%22Nguyen+TL%22">Nguyen TL</searchLink>; Centre for Epidemiology & Biostatistics, The University of Melbourne School of Population and Global Health, Melbourne, Victoria, Australia.<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, United States of America.
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  Data: <searchLink fieldCode="JN" term="%220401220%22">Physics in medicine and biology</searchLink> [Phys Med Biol] 2025 Nov 25; Vol. 70 (23). <i>Date of Electronic Publication: </i>2025 Nov 25.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22IOP+Publishing%22">IOP Publishing </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>0401220 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1361-6560 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2200319155%22">00319155 </searchLink><i>NLM ISO Abbreviation: </i>Phys Med Biol <i>Subsets: </i>MEDLINE
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        Value: 10.1088/1361-6560/ae1ee4
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      – TitleFull: 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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              Text: 2025 Nov 25
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