Personalized Deep Learning for Breast Cancer Clinical Target Volume Segmentation Using Multiple Models with Intentional Deep Overfit Learning (IDOL) Framework

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dc.contributor.author황준일ko
dc.contributor.author천재희ko
dc.contributor.author최서희ko
dc.contributor.author조승룡ko
dc.contributor.author김진성ko
dc.date.accessioned2023-08-22T11:01:15Z-
dc.date.available2023-08-22T11:01:15Z-
dc.date.created2023-08-22-
dc.date.issued2023-04-13-
dc.identifier.citation제65회 (사)한국의학물리학회 춘계학술대회-
dc.identifier.urihttp://hdl.handle.net/10203/311722-
dc.languageEnglish-
dc.publisher한국의학물리학회-
dc.titlePersonalized Deep Learning for Breast Cancer Clinical Target Volume Segmentation Using Multiple Models with Intentional Deep Overfit Learning (IDOL) Framework-
dc.typeConference-
dc.type.rimsCONF-
dc.citation.publicationname제65회 (사)한국의학물리학회 춘계학술대회-
dc.identifier.conferencecountryKO-
dc.identifier.conferencelocation대구 그랜드호텔-
dc.contributor.localauthor조승룡-
dc.contributor.nonIdAuthor천재희-
dc.contributor.nonIdAuthor최서희-
dc.contributor.nonIdAuthor김진성-
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NE-Conference Papers(학술회의논문)
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