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Deep learning assisted biomarker development in patients with chronic hepatitis B: Editorial on “Prognostic role of computed tomography analysis using deep learning algorithm in patients with chronic hepatitis B viral infection”

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dc.contributor.author정용은-
dc.date.accessioned2025-02-03T09:14:40Z-
dc.date.available2025-02-03T09:14:40Z-
dc.date.issued2024-10-
dc.identifier.issn2287-2728-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/202319-
dc.description.statementOfResponsibilityopen-
dc.languageEnglish-
dc.publisherKorean Association for the Study of the Liver-
dc.relation.isPartOfCLINICAL AND MOLECULAR HEPATOLOGY-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.titleDeep learning assisted biomarker development in patients with chronic hepatitis B: Editorial on “Prognostic role of computed tomography analysis using deep learning algorithm in patients with chronic hepatitis B viral infection”-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Radiology (영상의학교실)-
dc.contributor.googleauthorYong Eun Chung-
dc.identifier.doi10.3350/CMH.2024.0563-
dc.contributor.localIdA03662-
dc.relation.journalcodeJ00557-
dc.identifier.eissn2287-285X-
dc.identifier.pmid39038960-
dc.subject.keywordDeep learning-
dc.subject.keywordPrognosis prediction-
dc.subject.keywordSpleen volume-
dc.subject.keywordSubcutanoeus fat-
dc.subject.keywordVisceral fat-
dc.contributor.alternativeNameChung, Yong Eun-
dc.contributor.affiliatedAuthor정용은-
dc.citation.volume30-
dc.citation.number4-
dc.citation.startPage669-
dc.citation.endPage672-
dc.identifier.bibliographicCitationCLINICAL AND MOLECULAR HEPATOLOGY, Vol.30(4) : 669-672, 2024-10-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers
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