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Feasibility Study of Deep Learning Based Radiosensitivity Binary Classification Model Using Gene Expression Profiling
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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | 정윤선 | - |
| dc.date.accessioned | 2021-12-24T01:39:47Z | - |
| dc.date.available | 2021-12-24T01:39:47Z | - |
| dc.date.issued | 2021-07-25 | - |
| dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/133707 | - |
| dc.title | Feasibility Study of Deep Learning Based Radiosensitivity Binary Classification Model Using Gene Expression Profiling | - |
| dc.type | Conference | - |
| dc.citation.conferenceName | AAPM 2021 63rd Annual Meeting | - |
| dc.citation.conferencePlace | Online | - |
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- Chung, Yoonsun
- COLLEGE OF ENGINEERING (DEPARTMENT OF NUCLEAR ENGINEERING)