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MuSiC-ViT: A multi-task Siamese convolutional vision transformer for differentiating change from no-change in follow-up chest radiographs.
Cho, Kyungjin; Kim, Jeeyoung; Kim, Ki Duk; Park, Seungju; Kim, Junsik; Yun, Jihye; Ahn, Yura; Oh, Sang Young; Lee, Sang Min; Seo, Joon Beom; Kim, Namkug.
Afiliação
  • Cho K; Department of Biomedical Engineering, Asan Medical Institute of Convergence Science and Technology, Asan Medical Center, College of Medicine, University of Ulsan, Seoul, Republic of Korea.
  • Kim J; Department of Biomedical Engineering, Asan Medical Institute of Convergence Science and Technology, Asan Medical Center, College of Medicine, University of Ulsan, Seoul, Republic of Korea.
  • Kim KD; Department of Convergence Medicine, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea.
  • Park S; Department of Biomedical Engineering, College of Health Sciences, Korea University, Seoul, Republic of Korea.
  • Kim J; Department of Biomedical Engineering, Asan Medical Institute of Convergence Science and Technology, Asan Medical Center, College of Medicine, University of Ulsan, Seoul, Republic of Korea.
  • Yun J; Department of Radiology, Asan Medical Center/University of Ulsan College of Medicine, Seoul, Republic of Korea.
  • Ahn Y; Department of Radiology, and Research of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea.
  • Oh SY; Department of Radiology, Asan Medical Center/University of Ulsan College of Medicine, Seoul, Republic of Korea.
  • Lee SM; Department of Radiology, University of Ulsan College of Medicine and Asan Medical Center, Seoul, Republic of Korea.
  • Seo JB; Department of Radiology, Asan Medical Center/University of Ulsan College of Medicine, Seoul, Republic of Korea. Electronic address: joonbeom.seo@gmail.com.
  • Kim N; Department of Convergence Medicine, Asan Medical Center/University of Ulsan College of Medicine, Seoul, Republic of Korea. Electronic address: namkugkim@gmail.com.
Med Image Anal ; 89: 102894, 2023 10.
Article em En | MEDLINE | ID: mdl-37562256

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Música Tipo de estudo: Observational_studies / Prognostic_studies Limite: Humans Idioma: En Revista: Med Image Anal Assunto da revista: DIAGNOSTICO POR IMAGEM Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Música Tipo de estudo: Observational_studies / Prognostic_studies Limite: Humans Idioma: En Revista: Med Image Anal Assunto da revista: DIAGNOSTICO POR IMAGEM Ano de publicação: 2023 Tipo de documento: Article
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