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Artificial intelligence, trained with a rough binary classification, can select significant images of capsule endoscopy.
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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | 임윤정 | - |
| dc.date.accessioned | 2023-05-11T14:41:24Z | - |
| dc.date.available | 2023-05-11T14:41:24Z | - |
| dc.date.issued | 2020-05-05 | - |
| dc.identifier.uri | https://scholarworks.dongguk.edu/handle/sw.dongguk/12912 | - |
| dc.title | Artificial intelligence, trained with a rough binary classification, can select significant images of capsule endoscopy. | - |
| dc.type | Conference | - |
| dc.citation.conferenceName | DDW | - |
| dc.citation.conferencePlace | 미국 | - |
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Related Researcher
- Lim, Yun Jeong
- Graduate School (Department of Medicine)