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The development of "automated visual evaluation" for cervical cancer screening: The promise and challenges in adapting deep-learning for clinical testing: Interdisciplinary principles of automated visual evaluation in cervical screening.
Desai, Kanan T; Befano, Brian; Xue, Zhiyun; Kelly, Helen; Campos, Nicole G; Egemen, Didem; Gage, Julia C; Rodriguez, Ana-Cecilia; Sahasrabuddhe, Vikrant; Levitz, David; Pearlman, Paul; Jeronimo, Jose; Antani, Sameer; Schiffman, Mark; de Sanjosé, Silvia.
Afiliação
  • Desai KT; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA.
  • Befano B; Information Management Services Inc., Calverton, Maryland, USA.
  • Xue Z; Department of Epidemiology, University of Washington School of Public Health, Seattle, Washington, USA.
  • Kelly H; US National Library of Medicine, Bethesda, Maryland, USA.
  • Campos NG; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA.
  • Egemen D; Center for Health Decision Science, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.
  • Gage JC; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA.
  • Rodriguez AC; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA.
  • Sahasrabuddhe V; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA.
  • Levitz D; Division of Cancer Prevention, National Cancer Institute, Rockville, Maryland, USA.
  • Pearlman P; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA.
  • Jeronimo J; Center for Global Health, National Cancer Institute, Rockville, Maryland, USA.
  • Antani S; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA.
  • Schiffman M; US National Library of Medicine, Bethesda, Maryland, USA.
  • de Sanjosé S; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA.
Int J Cancer ; 150(5): 741-752, 2022 03 01.
Article em En | MEDLINE | ID: mdl-34800038
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias do Colo do Útero / Detecção Precoce de Câncer / Aprendizado Profundo Tipo de estudo: Diagnostic_studies / Screening_studies Limite: Female / Humans Idioma: En Revista: Int J Cancer Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos
Texto completo
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PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias do Colo do Útero / Detecção Precoce de Câncer / Aprendizado Profundo Tipo de estudo: Diagnostic_studies / Screening_studies Limite: Female / Humans Idioma: En Revista: Int J Cancer Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos