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Optimizing MRI texture analysis of breast cancer to predict prognostic biomarkers and molecular subtypes using machine learning

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dc.contributor.authorBo Kyoung Seo-
dc.date.accessioned2021-08-27T10:56:45Z-
dc.date.available2021-08-27T10:56:45Z-
dc.date.created2021-04-22-
dc.date.issued2020-09-17-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/5631-
dc.publisherKorean Congress of Radiology-
dc.titleOptimizing MRI texture analysis of breast cancer to predict prognostic biomarkers and molecular subtypes using machine learning-
dc.title.alternative영어-
dc.typeConference-
dc.contributor.affiliatedAuthorBo Kyoung Seo-
dc.identifier.bibliographicCitationKorean Congress of Radiology 2020-
dc.relation.isPartOfKorean Congress of Radiology 2020-
dc.relation.isPartOfKorean Congress of Radiology 2020-
dc.citation.titleKorean Congress of Radiology 2020-
dc.citation.conferencePlaceKO-
dc.citation.conferenceDate2020-09-17-
dc.type.rimsCONF-
dc.description.journalClass1-
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