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Development and validation of a meta-learning-based multi-modal deep learning algorithm for detection of peritoneal metastasis.
Zhang, Hangyu; Zhu, Xudong; Li, Bin; Dai, Xiaomeng; Bao, Xuanwen; Fu, Qihan; Tong, Zhou; Liu, Lulu; Zheng, Yi; Zhao, Peng; Ye, Luan; Chen, Zhihong; Fang, Weijia; Ruan, Lingxiang; Jin, Xinyu.
Afiliación
  • Zhang H; The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
  • Zhu X; The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
  • Li B; The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
  • Dai X; Institute of Information Science and Electronic Engineering, Zhejiang University, Yuquan Campus, Hangzhou, Zhejiang, China.
  • Bao X; The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
  • Fu Q; The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
  • Tong Z; The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
  • Liu L; The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
  • Zheng Y; The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
  • Zhao P; The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
  • Ye L; Institute of Information Science and Electronic Engineering, Zhejiang University, Yuquan Campus, Hangzhou, Zhejiang, China.
  • Chen Z; Institute of Information Science and Electronic Engineering, Zhejiang University, Yuquan Campus, Hangzhou, Zhejiang, China.
  • Fang W; The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
  • Ruan L; The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China. ruanlx@126.com.
  • Jin X; Institute of Information Science and Electronic Engineering, Zhejiang University, Yuquan Campus, Hangzhou, Zhejiang, China. jinxy@zju.edu.cn.
Int J Comput Assist Radiol Surg ; 17(10): 1845-1853, 2022 Oct.
Article en En | MEDLINE | ID: mdl-35867303
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Peritoneales / Aprendizaje Profundo Tipo de estudio: Diagnostic_studies / Prognostic_studies / Screening_studies Límite: Humans Idioma: En Revista: Int J Comput Assist Radiol Surg Asunto de la revista: RADIOLOGIA Año: 2022 Tipo del documento: Article País de afiliación: China
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Peritoneales / Aprendizaje Profundo Tipo de estudio: Diagnostic_studies / Prognostic_studies / Screening_studies Límite: Humans Idioma: En Revista: Int J Comput Assist Radiol Surg Asunto de la revista: RADIOLOGIA Año: 2022 Tipo del documento: Article País de afiliación: China