A Deep Learning Model Tailored to Individual Patients for Accurate Clinical Target Volume Delineation on Daily CBCT Scans of Breast Cancer Patients

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dc.contributor.authorHwang, Joonilko
dc.contributor.authorChun, Jaeheeko
dc.contributor.authorCho, Seungryongko
dc.contributor.authorKim, Jin Sungko
dc.date.accessioned2024-03-12T07:00:47Z-
dc.date.available2024-03-12T07:00:47Z-
dc.date.created2024-03-12-
dc.date.issued2023-10-12-
dc.identifier.citationFARO&KORSO 2023-
dc.identifier.urihttp://hdl.handle.net/10203/318523-
dc.publisherThe Korean Society for Radiation Oncology-
dc.titleA Deep Learning Model Tailored to Individual Patients for Accurate Clinical Target Volume Delineation on Daily CBCT Scans of Breast Cancer Patients-
dc.typeConference-
dc.type.rimsCONF-
dc.citation.publicationnameFARO&KORSO 2023-
dc.identifier.conferencecountryKO-
dc.contributor.localauthorCho, Seungryong-
dc.contributor.nonIdAuthorChun, Jaehee-
dc.contributor.nonIdAuthorKim, Jin Sung-
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NE-Conference Papers(학술회의논문)
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