DC Field | Value | Language |
---|---|---|
dc.contributor.author | Hwang, Joonil | ko |
dc.contributor.author | Chun, Jaehee | ko |
dc.contributor.author | Cho, Seungryong | ko |
dc.contributor.author | Kim, Jin Sung | ko |
dc.date.accessioned | 2024-03-12T07:00:47Z | - |
dc.date.available | 2024-03-12T07:00:47Z | - |
dc.date.created | 2024-03-12 | - |
dc.date.issued | 2023-10-12 | - |
dc.identifier.citation | FARO&KORSO 2023 | - |
dc.identifier.uri | http://hdl.handle.net/10203/318523 | - |
dc.publisher | The Korean Society for Radiation Oncology | - |
dc.title | A Deep Learning Model Tailored to Individual Patients for Accurate Clinical Target Volume Delineation on Daily CBCT Scans of Breast Cancer Patients | - |
dc.type | Conference | - |
dc.type.rims | CONF | - |
dc.citation.publicationname | FARO&KORSO 2023 | - |
dc.identifier.conferencecountry | KO | - |
dc.contributor.localauthor | Cho, Seungryong | - |
dc.contributor.nonIdAuthor | Chun, Jaehee | - |
dc.contributor.nonIdAuthor | Kim, Jin Sung | - |
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