Inconsistent Performance of Deep Learning Models on Mammogram Classification.

Wang, Xiaoqin; Liang, Gongbo; Zhang, Yu; Blanton, Hunter; Bessinger, Zachary; Jacobs, Nathan

Wang, Xiaoqin; Liang, Gongbo; Zhang, Yu; Blanton, Hunter; Bessinger, Zachary; Jacobs, Nathan.

Afiliação

Wang X; Department of Radiology, University of Kentucky, Lexington, Kentucky; Markey Cancer Center, University of Kentucky, Lexington, Kentucky. Electronic address: Xiaoqin.wang@uky.edu.
Liang G; Department of Computer Science, University of Kentucky, Lexington, Kentucky.
Zhang Y; Department of Computer Science, University of Kentucky, Lexington, Kentucky.
Blanton H; Department of Computer Science, University of Kentucky, Lexington, Kentucky.
Bessinger Z; Department of Computer Science, University of Kentucky, Lexington, Kentucky.
Jacobs N; Department of Computer Science, University of Kentucky, Lexington, Kentucky.

J Am Coll Radiol ; 17(6): 796-803, 2020 Jun.

Article em En | MEDLINE | ID: mdl-32068005

Assuntos

Neoplasias da Mama; Aprendizado Profundo; Neoplasias da Mama/diagnóstico por imagem; Detecção Precoce de Câncer; Feminino; Humanos; Processamento de Imagem Assistida por Computador; Mamografia

Palavras-chave

Deep learning; mammogram; performance inconsistency

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Aprendizado Profundo Tipo de estudo: Diagnostic_studies / Prognostic_studies / Screening_studies Limite: Female / Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article

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