Asymmetric cross-modal attention network with multimodal augmented mixup for medical visual question answering.

Li, Yong; Yang, Qihao; Wang, Fu Lee; Lee, Lap-Kei; Qu, Yingying; Hao, Tianyong

Li, Yong; Yang, Qihao; Wang, Fu Lee; Lee, Lap-Kei; Qu, Yingying; Hao, Tianyong.

Afiliação

Li Y; School of Computer Science, South China Normal University, Guangzhou, China. Electronic address: lycutter@m.scnu.edu.cn.
Yang Q; School of Computer Science, South China Normal University, Guangzhou, China. Electronic address: charlesyeung@m.scnu.edu.cn.
Wang FL; School of Science and Technology, Hong Kong Metropolitan University, Hong Kong. Electronic address: pwang@hkmu.edu.hk.
Lee LK; School of Science and Technology, Hong Kong Metropolitan University, Hong Kong. Electronic address: lklee@hkmu.edu.hk.
Qu Y; School of Business, Guangdong University of Foreign Studies, Guangzhou, China. Electronic address: jessie.qu@gdufs.edu.cn.
Hao T; School of Computer Science, South China Normal University, Guangzhou, China. Electronic address: haoty@m.scnu.edu.cn.

Artif Intell Med ; 144: 102667, 2023 10.

Article em En | MEDLINE | ID: mdl-37783542

Assuntos

Aprendizagem; Semântica

Palavras-chave

Cross modal attention; Data augmentation; Medical Visual Question Answering; Mixup; Multimodal interaction

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Semântica / Aprendizagem Tipo de estudo: Prognostic_studies Idioma: En Revista: Artif Intell Med Ano de publicação: 2023 Tipo de documento: Article

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