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의료 이미지를 자연어로 설명하기 위한 크로스 인코더-디코더 트랜스포머 딥러닝 모델

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dc.contributor.author김지희-
dc.contributor.author박지은-
dc.contributor.author이호준-
dc.contributor.author조현준-
dc.contributor.author채진영-
dc.date.accessioned2025-09-20T04:30:24Z-
dc.date.available2025-09-20T04:30:24Z-
dc.identifier.urihttps://scholarworks.dongguk.edu/handle/sw.dongguk/61576-
dc.description.abstract의료 이미지를 자연어로 설명하기 위한 딥러닝 모델입니다.-
dc.title의료 이미지를 자연어로 설명하기 위한 크로스 인코더-디코더 트랜스포머 딥러닝 모델-
dc.title.alternativeCross Encoder-Decoder Transformer with Global-Local Visual Extractor for Medical Image Captioning-
dc.typePatent-
dc.publisher.location대한민국-
dc.contributor.assignee동국대학교산학협력단-
dc.date.application2022-05-04-
dc.date.registration2025-09-01-
dc.type.iprs특허-
dc.identifier.patentRegistrationNumber10-2855298-
dc.identifier.patentApplicationNumber10-2022-0055588-
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