YUHSpace

BROWSE

Export
0 422

Cited 0 times in

Cited 0 times in

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

DC Field Value Language
dc.contributor.authorYoon, Jung Hyun-
dc.contributor.authorKim, Eun Kyung-
dc.date.accessioned2023-08-09T06:57:40Z-
dc.date.available2023-08-09T06:57:40Z-
dc.date.created2023-11-02-
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.relation.isPartOfAMERICAN JOURNAL OF ROENTGENOLOGY-
dc.rightsCC BY-NC-ND 2.0 KR-
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.googleauthorYoon, Jung Hyun-
dc.contributor.googleauthorKim, Eun Kyung-
dc.identifier.doi10.2214/AJR.22.28703-
dc.relation.journalcodeJ00116-
dc.identifier.eissn1546-3141-
dc.identifier.pmid36350116-
dc.contributor.alternativeNameKim, Eun Kyung-
dc.contributor.affiliatedAuthorYoon, Jung Hyun-
dc.contributor.affiliatedAuthorKim, Eun Kyung-
dc.identifier.scopusid2-s2.0-85163920189-
dc.identifier.wosid001036030500030-
dc.citation.volume221-
dc.citation.number1-
dc.citation.startPage141-
dc.identifier.bibliographicCitationAmerican Journal of Roentgenology, Vol.221(1) : 141, 2023-07-
dc.identifier.rimsid81054-
dc.type.rimsART-
dc.description.journalClass1-
dc.description.journalClass1-
dc.type.docTypeEditorial Material-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalWebOfScienceCategoryRadiology, Nuclear Medicine & Medical Imaging-
dc.relation.journalResearchAreaRadiology, Nuclear Medicine & Medical Imaging-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers
Show simple item record Find it @ YMLIB

qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

  • License
    sherpa_romeo
    sherpa_juliet

OAK

DSpace Software Copyright © 2002-2017 Duraspace Yonsei University Medical Library All right Reserves. / TEL:02-2228-2915 /
YUHSpace는 국립중앙도서관 OAK 보급사업으로 구축되었습니다.

Browse

Links