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- Lee, Jimin
- Radiation & Medical Intelligence Lab.
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| DC Field | Value | Language |
|---|---|---|
| dc.citation.conferencePlace | US | - |
| dc.citation.title | RSNA 2020 | - |
| dc.contributor.author | Lee, Jimin | - |
| dc.contributor.author | Cho, Hyungjoo | - |
| dc.contributor.author | Ye, Sung-Joon | - |
| dc.contributor.author | Choi, Doo Ho | - |
| dc.contributor.author | Park, Won | - |
| dc.contributor.author | Kim, Haeyoung | - |
| dc.contributor.author | Cho, Won Kyung | - |
| dc.contributor.author | Kim, Hee Jung | - |
| dc.date.accessioned | 2024-01-31T22:09:54Z | - |
| dc.date.available | 2024-01-31T22:09:54Z | - |
| dc.date.created | 2021-03-04 | - |
| dc.date.issued | 2020-11-29 | - |
| dc.identifier.bibliographicCitation | RSNA 2020 | - |
| dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/77760 | - |
| dc.identifier.url | http://archive.rsna.org/2020/20009429.html | - |
| dc.publisher | RSNA | - |
| dc.title | Deep Learning-based Breast and Organs-at-risk Segmentation in CT with Uncertainty Quantification for Radiation Therapy after Breast-Conserving Surgery | - |
| dc.type | Conference Paper | - |
| dc.date.conferenceDate | 2020-11-29 | - |
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