Automated Diagnosis of Breast Cancer Using Deep Learning Techniques Applied to Digital Mammography and Magnetic Resonance Images.

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Title: Automated Diagnosis of Breast Cancer Using Deep Learning Techniques Applied to Digital Mammography and Magnetic Resonance Images.
Authors: Alakhras M; Department of Allied Medical Sciences, Jordan University of Science and Technology, Irbid, Jordan., Tayseer I; Department of Allied Medical Sciences, Jordan University of Science and Technology, Irbid, Jordan., Alquran H; Department of Biomedical Systems and Informatics Engineering, Yarmouk University, Irbid, Jordan., Alsalatie M; The Institute of Biomedical Technology, King Hussein Medical Center, Royal Jordanian Medical Service, Amman, Jordan; and., Melhem DB; Department of Radiology, Al Ramtha Government Hospital, Irbid, Jordan.
Source: Topics in magnetic resonance imaging : TMRI [Top Magn Reson Imaging] 2026 Jun 24; Vol. 35 (1). Date of Electronic Publication: 2026 Jun 24 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Lippincott Williams & Wilkins Country of Publication: United States NLM ID: 8913523 Publication Model: eCollection Cited Medium: Internet ISSN: 1536-1004 (Electronic) Linking ISSN: 08993459 NLM ISO Abbreviation: Top Magn Reson Imaging Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Alakhras+M%22">Alakhras M</searchLink>; Department of Allied Medical Sciences, Jordan University of Science and Technology, Irbid, Jordan.<br /><searchLink fieldCode="AU" term="%22Tayseer+I%22">Tayseer I</searchLink>; Department of Allied Medical Sciences, Jordan University of Science and Technology, Irbid, Jordan.<br /><searchLink fieldCode="AU" term="%22Alquran+H%22">Alquran H</searchLink>; Department of Biomedical Systems and Informatics Engineering, Yarmouk University, Irbid, Jordan.<br /><searchLink fieldCode="AU" term="%22Alsalatie+M%22">Alsalatie M</searchLink>; The Institute of Biomedical Technology, King Hussein Medical Center, Royal Jordanian Medical Service, Amman, Jordan; and.<br /><searchLink fieldCode="AU" term="%22Melhem+DB%22">Melhem DB</searchLink>; Department of Radiology, Al Ramtha Government Hospital, Irbid, Jordan.
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  Data: <searchLink fieldCode="JN" term="%228913523%22">Topics in magnetic resonance imaging : TMRI</searchLink> [Top Magn Reson Imaging] 2026 Jun 24; Vol. 35 (1). <i>Date of Electronic Publication: </i>2026 Jun 24 (<i>Print Publication: </i>2026).
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Lippincott+Williams+%26+Wilkins%22">Lippincott Williams & Wilkins </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>8913523 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>1536-1004 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2208993459%22">08993459 </searchLink><i>NLM ISO Abbreviation: </i>Top Magn Reson Imaging <i>Subsets: </i>MEDLINE
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        Value: 10.1097/RMR.0000000000000323
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      – Code: eng
        Text: English
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      – TitleFull: Automated Diagnosis of Breast Cancer Using Deep Learning Techniques Applied to Digital Mammography and Magnetic Resonance Images.
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            NameFull: Alakhras M
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            NameFull: Alquran H
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            NameFull: Alsalatie M
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              Text: 2026 Jun 24
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              Y: 2026
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