Your browser doesn't support javascript.
loading
Deep learning radiomic nomogram to predict recurrence in soft tissue sarcoma: a multi-institutional study.
Liu, Shunli; Sun, Weikai; Yang, Shifeng; Duan, Lisha; Huang, Chencui; Xu, Jingxu; Hou, Feng; Hao, Dapeng; Yu, Tengbo; Wang, Hexiang.
Afiliação
  • Liu S; Department of Radiology, The Affiliated Hospital of Qingdao University, Qingdao, 266003, Shandong, China.
  • Sun W; Department of Radiology, The Affiliated Hospital of Qingdao University, Qingdao, 266003, Shandong, China.
  • Yang S; Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250000, Shandong, China.
  • Duan L; Department of Radiology, The Third Hospital of Hebei Medical University, Shijiazhuang, 050051, Hebei, China.
  • Huang C; Department of Research Collaboration, R&D Center, Beijing Deepwise & League of PHD Technology Co., Ltd., Beijing, 100080, China.
  • Xu J; Department of Research Collaboration, R&D Center, Beijing Deepwise & League of PHD Technology Co., Ltd., Beijing, 100080, China.
  • Hou F; Department of Pathology, The Affiliated Hospital of Qingdao University, Qingdao, 266003, Shandong, China.
  • Hao D; Department of Radiology, The Affiliated Hospital of Qingdao University, Qingdao, 266003, Shandong, China.
  • Yu T; Department of Sports Medicine, The Affiliated Hospital of Qingdao University, Qingdao, 266003, Shandong, China. ytb8912@163.com.
  • Wang H; Department of Radiology, The Affiliated Hospital of Qingdao University, Qingdao, 266003, Shandong, China. 18661808669@126.com.
Eur Radiol ; 32(2): 793-805, 2022 Feb.
Article em En | MEDLINE | ID: mdl-34448928
Assuntos
Palavras-chave
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Sarcoma / Aprendizado Profundo Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Eur Radiol Assunto da revista: RADIOLOGIA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Sarcoma / Aprendizado Profundo Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Eur Radiol Assunto da revista: RADIOLOGIA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China