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MRI-based automated multitask deep learning system to evaluate supraspinatus tendon injuries.
Ni, Ming; Zhao, Yuqing; Zhang, Lihua; Chen, Wen; Wang, Qizheng; Tian, Chunyan; Yuan, Huishu.
Afiliación
  • Ni M; Department of Radiology, Peking University Third Hospital, Haidian District, Beijing, People's Republic of China.
  • Zhao Y; Department of Radiology, Peking University Third Hospital, Haidian District, Beijing, People's Republic of China.
  • Zhang L; Department of Radiology, Peking University Third Hospital, Haidian District, Beijing, People's Republic of China.
  • Chen W; Department of Radiology, Peking University Third Hospital, Haidian District, Beijing, People's Republic of China.
  • Wang Q; Department of Radiology, Peking University Third Hospital, Haidian District, Beijing, People's Republic of China.
  • Tian C; Department of Radiology, Peking University Third Hospital, Haidian District, Beijing, People's Republic of China. huishuy@bjmu.edu.cn.
  • Yuan H; Department of Radiology, Peking University Third Hospital, Haidian District, Beijing, People's Republic of China. tcyzhs@163.com.
Eur Radiol ; 2023 Nov 15.
Article en En | MEDLINE | ID: mdl-37964049
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Eur Radiol Asunto de la revista: RADIOLOGIA Año: 2023 Tipo del documento: Article
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Eur Radiol Asunto de la revista: RADIOLOGIA Año: 2023 Tipo del documento: Article