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Beyond the AJR: Deep Learning Model for Risk-Based Breast Cancer Screening

DC Field Value Language
dc.contributor.author김은경-
dc.contributor.author윤정현-
dc.date.accessioned2023-08-09T06:57:40Z-
dc.date.available2023-08-09T06:57:40Z-
dc.date.issued2023-07-
dc.identifier.issn0361-803X-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/196013-
dc.description.abstract[No abstract available]-
dc.description.statementOfResponsibilityrestriction-
dc.languageEnglish-
dc.publisherSpringfield, Ill., Thomas-
dc.relation.isPartOfAMERICAN JOURNAL OF ROENTGENOLOGY-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.subject.MESHBreast-
dc.subject.MESHBreast Neoplasms* / diagnostic imaging-
dc.subject.MESHDeep Learning*-
dc.subject.MESHEarly Detection of Cancer-
dc.subject.MESHFemale-
dc.subject.MESHHumans-
dc.subject.MESHMammography-
dc.titleBeyond the AJR: Deep Learning Model for Risk-Based Breast Cancer Screening-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Radiology (영상의학교실)-
dc.contributor.googleauthorJung Hyun Yoon-
dc.contributor.googleauthorEun-Kyung Kim-
dc.identifier.doi10.2214/ajr.22.28703-
dc.contributor.localIdA00801-
dc.contributor.localIdA02595-
dc.relation.journalcodeJ00116-
dc.identifier.eissn1546-3141-
dc.identifier.pmid36350116-
dc.identifier.urlhttps://www.ajronline.org/doi/10.2214/AJR.22.28703-
dc.contributor.alternativeNameKim, Eun Kyung-
dc.contributor.affiliatedAuthor김은경-
dc.contributor.affiliatedAuthor윤정현-
dc.citation.volume221-
dc.citation.number1-
dc.citation.startPage141-
dc.citation.endPage141-
dc.identifier.bibliographicCitationAMERICAN JOURNAL OF ROENTGENOLOGY, Vol.221(1) : 141-141, 2023-07-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers
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