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Computer-Aided Detection (CADe) and Segmentation Methods for Breast Cancer Using Magnetic Resonance Imaging (MRI).

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Title: Computer-Aided Detection (CADe) and Segmentation Methods for Breast Cancer Using Magnetic Resonance Imaging (MRI).
Authors: Jannatdoust P; School of Medicine, Tehran University of Medical Science, Tehran, Iran., Valizadeh P; School of Medicine, Tehran University of Medical Science, Tehran, Iran., Saeedi N; Student Research Committee, Islamic Azad University, Mashhad Branch, Mashhad, Iran., Valizadeh G; Quantitative MR Imaging and Spectroscopy Group (QMISG), Tehran University of Medical Sciences, Tehran, Iran., Salari HM; Quantitative MR Imaging and Spectroscopy Group (QMISG), Tehran University of Medical Sciences, Tehran, Iran., Saligheh Rad H; Quantitative MR Imaging and Spectroscopy Group (QMISG), Tehran University of Medical Sciences, Tehran, Iran.; Department of Medical Physics and Biomedical Engineering, Tehran University of Medical Sciences, Tehran, Iran., Gity M; Advanced Diagnostic and Interventional Radiology Research Center, Tehran University of Medical Sciences, Tehran, Iran.
Source: Journal of magnetic resonance imaging : JMRI [J Magn Reson Imaging] 2025 Jun; Vol. 61 (6), pp. 2376-2390. Date of Electronic Publication: 2025 Jan 09.
Publication Type: Journal Article; Review
Journal Info: Publisher: Wiley-Liss Country of Publication: United States NLM ID: 9105850 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1522-2586 (Electronic) Linking ISSN: 10531807 NLM ISO Abbreviation: J Magn Reson Imaging Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Computer-Aided Detection (CADe) and Segmentation Methods for Breast Cancer Using Magnetic Resonance Imaging (MRI).
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  Data: <searchLink fieldCode="AU" term="%22Jannatdoust+P%22">Jannatdoust P</searchLink>; School of Medicine, Tehran University of Medical Science, Tehran, Iran.<br /><searchLink fieldCode="AU" term="%22Valizadeh+P%22">Valizadeh P</searchLink>; School of Medicine, Tehran University of Medical Science, Tehran, Iran.<br /><searchLink fieldCode="AU" term="%22Saeedi+N%22">Saeedi N</searchLink>; Student Research Committee, Islamic Azad University, Mashhad Branch, Mashhad, Iran.<br /><searchLink fieldCode="AU" term="%22Valizadeh+G%22">Valizadeh G</searchLink>; Quantitative MR Imaging and Spectroscopy Group (QMISG), Tehran University of Medical Sciences, Tehran, Iran.<br /><searchLink fieldCode="AU" term="%22Salari+HM%22">Salari HM</searchLink>; Quantitative MR Imaging and Spectroscopy Group (QMISG), Tehran University of Medical Sciences, Tehran, Iran.<br /><searchLink fieldCode="AU" term="%22Saligheh+Rad+H%22">Saligheh Rad H</searchLink>; Quantitative MR Imaging and Spectroscopy Group (QMISG), Tehran University of Medical Sciences, Tehran, Iran.; Department of Medical Physics and Biomedical Engineering, Tehran University of Medical Sciences, Tehran, Iran.<br /><searchLink fieldCode="AU" term="%22Gity+M%22">Gity M</searchLink>; Advanced Diagnostic and Interventional Radiology Research Center, Tehran University of Medical Sciences, Tehran, Iran.
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  Data: <searchLink fieldCode="JN" term="%229105850%22">Journal of magnetic resonance imaging : JMRI</searchLink> [J Magn Reson Imaging] 2025 Jun; Vol. 61 (6), pp. 2376-2390. <i>Date of Electronic Publication: </i>2025 Jan 09.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Wiley-Liss%22">Wiley-Liss </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>9105850 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1522-2586 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2210531807%22">10531807 </searchLink><i>NLM ISO Abbreviation: </i>J Magn Reson Imaging <i>Subsets: </i>MEDLINE
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        Value: 10.1002/jmri.29687
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        Text: English
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      – TitleFull: Computer-Aided Detection (CADe) and Segmentation Methods for Breast Cancer Using Magnetic Resonance Imaging (MRI).
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            NameFull: Jannatdoust P
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            NameFull: Valizadeh P
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            NameFull: Saeedi N
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              Text: 2025 Jun
              Type: published
              Y: 2025
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              Value: 61
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