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Deep learning-based pulmonary nodule detection: Effect of slab thickness in maximum intensity projections at the nodule candidate detection stage.
Zheng, Sunyi; Cui, Xiaonan; Vonder, Marleen; Veldhuis, Raymond N J; Ye, Zhaoxiang; Vliegenthart, Rozemarijn; Oudkerk, Matthijs; van Ooijen, Peter M A.
Afiliação
  • Zheng S; Department of Radiation Oncology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands. Electronic address: s.zheng@umcg.nl.
  • Cui X; Department of Radiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands; Department of Radiology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Centre of Cancer, Tianjin, China.
  • Vonder M; Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.
  • Veldhuis RNJ; University of Twente, Enschede, the Netherlands.
  • Ye Z; Department of Radiology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Centre of Cancer, Tianjin, China.
  • Vliegenthart R; Department of Radiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.
  • Oudkerk M; University of Groningen, Groningen, the Netherlands.
  • van Ooijen PMA; Department of Radiation Oncology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.
Comput Methods Programs Biomed ; 196: 105620, 2020 Nov.
Article em En | MEDLINE | ID: mdl-32615493
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Nódulo Pulmonar Solitário / Aprendizado Profundo / Neoplasias Pulmonares Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Revista: Comput Methods Programs Biomed Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2020 Tipo de documento: Article
Texto completo
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Nódulo Pulmonar Solitário / Aprendizado Profundo / Neoplasias Pulmonares Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Revista: Comput Methods Programs Biomed Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2020 Tipo de documento: Article