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설명 가능한 인공지능 기반 의료 AI 기술 연구 동향
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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | 김재현 | - |
| dc.contributor.author | 김유신 | - |
| dc.contributor.author | 이세종 | - |
| dc.contributor.author | 안세영 | - |
| dc.contributor.author | 노재원 | - |
| dc.contributor.author | 김종훈 | - |
| dc.contributor.author | 조성현 | - |
| dc.date.accessioned | 2023-09-04T05:33:57Z | - |
| dc.date.available | 2023-09-04T05:33:57Z | - |
| dc.date.issued | 2021-06 | - |
| dc.identifier.uri | https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/114601 | - |
| dc.description.abstract | Artificial intelligence is being used in a variety offields, including medicine. But their lack ofinterpretability and explainability stand as one of themain drawbacks. To solve this problem, explainableartificial intelligence has been studied in healthcare.In this paper, we summarize recent advances inexplainable artificial intelligence technologies andintroduce the use of explainable artificial intelligencestudies in medicine. | - |
| dc.format.extent | 4 | - |
| dc.language | 한국어 | - |
| dc.language.iso | KOR | - |
| dc.publisher | IEIE | - |
| dc.title | 설명 가능한 인공지능 기반 의료 AI 기술 연구 동향 | - |
| dc.title.alternative | A Survey on Artificial Intelligence based Explainable Artificial Intelligence | - |
| dc.type | Article | - |
| dc.publisher.location | 대한민국 | - |
| dc.identifier.bibliographicCitation | 2021년 대한전자공학회 하계학술대회 논문집, pp 2403 - 2406 | - |
| dc.citation.title | 2021년 대한전자공학회 하계학술대회 논문집 | - |
| dc.citation.startPage | 2403 | - |
| dc.citation.endPage | 2406 | - |
| dc.type.docType | Proceeding | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | other | - |
| dc.identifier.url | https://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE10591782 | - |
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Related Researcher
- Cho, Sung hyun
- ERICA 소프트웨어융합대학 (ERICA 컴퓨터학부)