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Ensemble Deep Learning for Cervix Image Selection toward Improving Reliability in Automated Cervical Precancer Screening.
Guo, Peng; Xue, Zhiyun; Mtema, Zac; Yeates, Karen; Ginsburg, Ophira; Demarco, Maria; Long, L Rodney; Schiffman, Mark; Antani, Sameer.
Afiliación
  • Guo P; Communications Engineering Branch, Lister Hill National Center for Biomedical Communications, U.S. National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA.
  • Xue Z; Communications Engineering Branch, Lister Hill National Center for Biomedical Communications, U.S. National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA.
  • Mtema Z; Ifakara Health Institute, P.O. Box 53 Ifakara, Tanzania.
  • Yeates K; Department of Medicine, Queen's University, Kingston, ON K7L3N6, Canada.
  • Ginsburg O; School of Global Public Health, New York University, New York, NY 10012, USA.
  • Demarco M; Pamoja Tunaweza Research Centre, Moshi, Tanzania.
  • Long LR; Perlmutter Cancer Center, NYU Langone Health, New York, NY 10016, USA.
  • Schiffman M; Division of Cancer Epidemiology and Genetics (DCEG), National Cancer Institutes, Bethesda, MD 20892, USA.
  • Antani S; Communications Engineering Branch, Lister Hill National Center for Biomedical Communications, U.S. National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA.
Diagnostics (Basel) ; 10(7)2020 Jul 03.
Article en En | MEDLINE | ID: mdl-32635269
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Guideline / Observational_studies / Prognostic_studies / Screening_studies Idioma: En Revista: Diagnostics (Basel) Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
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XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Guideline / Observational_studies / Prognostic_studies / Screening_studies Idioma: En Revista: Diagnostics (Basel) Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos