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Performance of Digital Mammography-Based Artificial Intelligence Computer-Aided Diagnosis on Synthetic Mammography From Digital Breast Tomosynthesis.

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Title: Performance of Digital Mammography-Based Artificial Intelligence Computer-Aided Diagnosis on Synthetic Mammography From Digital Breast Tomosynthesis.
Authors: Lee KE; Department of Radiology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Republic of Korea., Song SE; Department of Radiology, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Republic of Korea., Cho KR; Department of Radiology, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Republic of Korea., Bae MS; Department of Radiology, Korea University Ansan Hospital, Korea University College of Medicine, Ansan, Republic of Korea., Seo BK; Department of Radiology, Korea University Ansan Hospital, Korea University College of Medicine, Ansan, Republic of Korea., Kim SY; Department of Radiology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Republic of Korea. sooyeonkim41@gmail.com., Woo OH; Department of Radiology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Republic of Korea. wokhee@korea.ac.kr.
Source: Korean journal of radiology [Korean J Radiol] 2025 Mar; Vol. 26 (3), pp. 217-229.
Publication Type: Journal Article
Journal Info: Publisher: Korean Society of Radiology Country of Publication: Korea (South) NLM ID: 100956096 Publication Model: Print Cited Medium: Internet ISSN: 2005-8330 (Electronic) Linking ISSN: 12296929 NLM ISO Abbreviation: Korean J Radiol Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Performance of Digital Mammography-Based Artificial Intelligence Computer-Aided Diagnosis on Synthetic Mammography From Digital Breast Tomosynthesis.
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  Data: <searchLink fieldCode="AU" term="%22Lee+KE%22">Lee KE</searchLink>; Department of Radiology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Song+SE%22">Song SE</searchLink>; Department of Radiology, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Cho+KR%22">Cho KR</searchLink>; Department of Radiology, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Bae+MS%22">Bae MS</searchLink>; Department of Radiology, Korea University Ansan Hospital, Korea University College of Medicine, Ansan, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Seo+BK%22">Seo BK</searchLink>; Department of Radiology, Korea University Ansan Hospital, Korea University College of Medicine, Ansan, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Kim+SY%22">Kim SY</searchLink>; Department of Radiology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Republic of Korea. sooyeonkim41@gmail.com.<br /><searchLink fieldCode="AU" term="%22Woo+OH%22">Woo OH</searchLink>; Department of Radiology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Republic of Korea. wokhee@korea.ac.kr.
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  Data: <searchLink fieldCode="JN" term="%22100956096%22">Korean journal of radiology</searchLink> [Korean J Radiol] 2025 Mar; Vol. 26 (3), pp. 217-229.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Korean+Society+of+Radiology%22">Korean Society of Radiology </searchLink><i>Country of Publication: </i>Korea (South) <i>NLM ID: </i>100956096 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>2005-8330 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2212296929%22">12296929 </searchLink><i>NLM ISO Abbreviation: </i>Korean J Radiol <i>Subsets: </i>MEDLINE
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        Value: 10.3348/kjr.2024.0664
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        Text: English
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      – TitleFull: Performance of Digital Mammography-Based Artificial Intelligence Computer-Aided Diagnosis on Synthetic Mammography From Digital Breast Tomosynthesis.
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              Text: 2025 Mar
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              Y: 2025
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              Value: 26
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