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의료 이미지를 자연어로 설명하기 위한 크로스 인코더-디코더 트랜스포머 딥러닝 모델
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | 김지희 | - |
| dc.contributor.author | 박지은 | - |
| dc.contributor.author | 이호준 | - |
| dc.contributor.author | 조현준 | - |
| dc.contributor.author | 채진영 | - |
| dc.date.accessioned | 2025-09-20T04:30:24Z | - |
| dc.date.available | 2025-09-20T04:30:24Z | - |
| dc.identifier.uri | https://scholarworks.dongguk.edu/handle/sw.dongguk/61576 | - |
| dc.description.abstract | 의료 이미지를 자연어로 설명하기 위한 딥러닝 모델입니다. | - |
| dc.title | 의료 이미지를 자연어로 설명하기 위한 크로스 인코더-디코더 트랜스포머 딥러닝 모델 | - |
| dc.title.alternative | Cross Encoder-Decoder Transformer with Global-Local Visual Extractor for Medical Image Captioning | - |
| dc.type | Patent | - |
| dc.publisher.location | 대한민국 | - |
| dc.contributor.assignee | 동국대학교산학협력단 | - |
| dc.date.application | 2022-05-04 | - |
| dc.date.registration | 2025-09-01 | - |
| dc.type.iprs | 특허 | - |
| dc.identifier.patentRegistrationNumber | 10-2855298 | - |
| dc.identifier.patentApplicationNumber | 10-2022-0055588 | - |
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