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Application of a machine learning algorithm to predict malignancy in thyroid cytopathology.
Elliott Range, Danielle D; Dov, David; Kovalsky, Shahar Z; Henao, Ricardo; Carin, Lawrence; Cohen, Jonathan.
Afiliação
  • Elliott Range DD; Department of Pathology, Duke University School of Medicine, Durham, North Carolina.
  • Dov D; Department of Electrical and Computer Engineering, Pratt School of Engineering, Duke University, Durham, North Carolina.
  • Kovalsky SZ; Department of Mathematics, Trinity College of Arts and Sciences, Duke University, Durham, North Carolina.
  • Henao R; Department of Electrical and Computer Engineering, Pratt School of Engineering, Duke University, Durham, North Carolina.
  • Carin L; Department of Biostatistics and Bioinformatics, Duke University, Durham, North Carolina.
  • Cohen J; Department of Electrical and Computer Engineering, Pratt School of Engineering, Duke University, Durham, North Carolina.
Cancer Cytopathol ; 128(4): 287-295, 2020 04.
Article em En | MEDLINE | ID: mdl-32012493
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Glândula Tireoide / Algoritmos / Neoplasias da Glândula Tireoide / Nódulo da Glândula Tireoide / Adenocarcinoma Folicular / Aprendizado de Máquina Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article
Texto completo
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Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Glândula Tireoide / Algoritmos / Neoplasias da Glândula Tireoide / Nódulo da Glândula Tireoide / Adenocarcinoma Folicular / Aprendizado de Máquina Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article