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Artificial intelligence performance in image-based ovarian cancer identification: A systematic review and meta-analysis.
Xu, He-Li; Gong, Ting-Ting; Liu, Fang-Hua; Chen, Hong-Yu; Xiao, Qian; Hou, Yang; Huang, Ying; Sun, Hong-Zan; Shi, Yu; Gao, Song; Lou, Yan; Chang, Qing; Zhao, Yu-Hong; Gao, Qing-Lei; Wu, Qi-Jun.
Afiliação
  • Xu HL; Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China.
  • Gong TT; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China.
  • Liu FH; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China.
  • Chen HY; Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China.
  • Xiao Q; Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China.
  • Hou Y; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China.
  • Huang Y; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China.
  • Sun HZ; Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China.
  • Shi Y; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China.
  • Gao S; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China.
  • Lou Y; Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China.
  • Chang Q; Department of Radiology, Shengjing Hospital of China Medical University, Shenyang, China.
  • Zhao YH; Department of Ultrasound, Shengjing Hospital of China Medical University, Shenyang, China.
  • Gao QL; Department of Radiology, Shengjing Hospital of China Medical University, Shenyang, China.
  • Wu QJ; Department of Radiology, Shengjing Hospital of China Medical University, Shenyang, China.
EClinicalMedicine ; 53: 101662, 2022 Nov.
Article em En | MEDLINE | ID: mdl-36147628
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Guideline / Prognostic_studies / Systematic_reviews Idioma: En Revista: EClinicalMedicine 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 Tipo de estudo: Diagnostic_studies / Guideline / Prognostic_studies / Systematic_reviews Idioma: En Revista: EClinicalMedicine Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China