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Deep Learning Algorithms for Predicting Breslow Thickness from Dermoscopic Images of Acral Lentiginous Melanomas

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dc.contributor.author노미령-
dc.contributor.author정기양-
dc.contributor.author오병호-
dc.date.accessioned2022-12-22T03:21:47Z-
dc.date.available2022-12-22T03:21:47Z-
dc.date.issued2022-08-
dc.identifier.issn0022-202X-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/191861-
dc.description.statementOfResponsibilityrestriction-
dc.languageEnglish-
dc.publisherElsevier-
dc.relation.isPartOfJOURNAL OF INVESTIGATIVE DERMATOLOGY-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.subject.MESHDeep Learning*-
dc.subject.MESHHumans-
dc.subject.MESHMelanoma* / diagnostic imaging-
dc.subject.MESHRetrospective Studies-
dc.subject.MESHSkin Neoplasms* / diagnostic imaging-
dc.titleDeep Learning Algorithms for Predicting Breslow Thickness from Dermoscopic Images of Acral Lentiginous Melanomas-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Dermatology (피부과학교실)-
dc.contributor.googleauthorYu Seong Chu-
dc.contributor.googleauthorSolam Lee-
dc.contributor.googleauthorSang Gyun Lee-
dc.contributor.googleauthorKee Yang Chung-
dc.contributor.googleauthorMi Ryung Roh-
dc.contributor.googleauthorSejung Yang-
dc.contributor.googleauthorByungho Oh-
dc.identifier.doi10.1016/j.jid.2021.12.033-
dc.contributor.localIdA01278-
dc.contributor.localIdA03582-
dc.contributor.localIdA02367-
dc.relation.journalcodeJ01469-
dc.identifier.eissn1523-1747-
dc.identifier.pmid35032502-
dc.identifier.urlhttps://www.sciencedirect.com/science/article/pii/S0022202X22000082?via%3Dihub-
dc.contributor.alternativeNameRoh, Mi Ryung-
dc.contributor.affiliatedAuthor노미령-
dc.contributor.affiliatedAuthor정기양-
dc.contributor.affiliatedAuthor오병호-
dc.citation.volume142-
dc.citation.number8-
dc.citation.startPage2268-
dc.citation.endPage2271.e2-
dc.identifier.bibliographicCitationJOURNAL OF INVESTIGATIVE DERMATOLOGY, Vol.142(8) : 2268-2271.e2, 2022-08-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Dermatology (피부과학교실) > 1. Journal Papers
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