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Comparison of medical image classification accuracy among three machine learning methods.
Maruyama, Tomoko; Hayashi, Norio; Sato, Yusuke; Hyuga, Shingo; Wakayama, Yuta; Watanabe, Haruyuki; Ogura, Akio; Ogura, Toshihiro.
Afiliação
  • Maruyama T; Department of Radiological Technology, Gunma Prefectural College of Health Sciences, Maebashi, Japan.
  • Hayashi N; Department of Radiological Technology, Gunma Prefectural College of Health Sciences, Maebashi, Japan.
  • Sato Y; Graduate School of Radiological Technology, Gunma Prefectural College of Health Sciences, Maebashi, Japan.
  • Hyuga S; Department of Radiological Technology, Gunma Prefectural College of Health Sciences, Maebashi, Japan.
  • Wakayama Y; Department of Radiological Technology, Gunma Prefectural College of Health Sciences, Maebashi, Japan.
  • Watanabe H; Department of Radiological Technology, Gunma Prefectural College of Health Sciences, Maebashi, Japan.
  • Ogura A; Department of Radiological Technology, Gunma Prefectural College of Health Sciences, Maebashi, Japan.
  • Ogura T; Department of Radiological Technology, Gunma Prefectural College of Health Sciences, Maebashi, Japan.
J Xray Sci Technol ; 26(6): 885-893, 2018.
Article em En | MEDLINE | ID: mdl-30223423
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Diagnóstico por Imagem / Redes Neurais de Computação / Aprendizado de Máquina Tipo de estudo: Diagnostic_studies / Guideline Limite: Humans Idioma: En Ano de publicação: 2018 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Diagnóstico por Imagem / Redes Neurais de Computação / Aprendizado de Máquina Tipo de estudo: Diagnostic_studies / Guideline Limite: Humans Idioma: En Ano de publicação: 2018 Tipo de documento: Article