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Deep learning-based automatic scoring models for the disease activity of rheumatoid arthritis based on multimodal ultrasound images.
He, Xuelei; Wang, Ming; Zhao, Chenyang; Wang, Qian; Zhang, Rui; Liu, Jian; Zhang, Yixiu; Qi, Zhenhong; Su, Na; Wei, Yao; Gui, Yang; Li, Jianchu; Tian, Xinping; Zeng, Xiaofeng; Jiang, Yuxin; Wang, Kun; Yang, Meng.
Afiliación
  • He X; Department of Ultrasound, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China.
  • Wang M; School of Information Sciences and Technology, Northwest University, Xi'an, Shaanxi Province, People's Republic of China.
  • Zhao C; CAS Key Laboratory of Molecular Imaging, the State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, People's Republic of China.
  • Wang Q; Department of Ultrasound, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China.
  • Zhang R; Department of Ultrasound, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China.
  • Liu J; Department of Rheumatology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China.
  • Zhang Y; Department of Ultrasound, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China.
  • Qi Z; Department of Rheumatology and Immunology, Aerospace Center Hospital, Peking University Aerospace School of Clinical Medicine, Beijing, People's Republic of China.
  • Su N; Department of Ultrasound, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China.
  • Wei Y; Department of Ultrasound, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China.
  • Gui Y; Department of Ultrasound, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China.
  • Li J; Department of Ultrasound, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China.
  • Tian X; Department of Ultrasound, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China.
  • Zeng X; Department of Ultrasound, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China.
  • Jiang Y; Department of Rheumatology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China.
  • Wang K; Department of Rheumatology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China.
  • Yang M; Department of Ultrasound, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China.
Rheumatology (Oxford) ; 63(3): 866-873, 2024 Mar 01.
Article en En | MEDLINE | ID: mdl-37471602
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Artritis Reumatoide / Aprendizaje Profundo Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Rheumatology (Oxford) Asunto de la revista: REUMATOLOGIA Año: 2024 Tipo del documento: Article
Texto completo
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Artritis Reumatoide / Aprendizaje Profundo Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Rheumatology (Oxford) Asunto de la revista: REUMATOLOGIA Año: 2024 Tipo del documento: Article