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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 2024 Annual Meeting | - |
| dc.contributor.author | Chang, Phillip | - |
| dc.contributor.author | Choi, Hyeon Sung | - |
| dc.contributor.author | Lee, Jimin | - |
| dc.contributor.author | Kim, Hyun Ho | - |
| dc.date.accessioned | 2024-12-20T10:05:06Z | - |
| dc.date.available | 2024-12-20T10:05:06Z | - |
| dc.date.created | 2024-12-19 | - |
| dc.date.issued | 2024-12-01 | - |
| dc.identifier.bibliographicCitation | RSNA 2024 Annual Meeting | - |
| dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/85125 | - |
| dc.language | 영어 | - |
| dc.publisher | Radiological Society of North America (RSNA) | - |
| dc.title | Extraction and Evaluation of Features of Preterm Patent Ductus Arteriosus in Chest X-Ray Images Using Deep Learning with Human Guided Training | - |
| dc.type | Conference Paper | - |
| dc.date.conferenceDate | 2024-12-01 | - |
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