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Radiomics of small renal masses on multiphasic CT: accuracy of machine learning-based classification models for the differentiation of renal cell carcinoma and angiomyolipoma without visible fat.
Yang, Ruimeng; Wu, Jialiang; Sun, Lei; Lai, Shengsheng; Xu, Yikai; Liu, Xilong; Ma, Ying; Zhen, Xin.
Afiliação
  • Yang R; Department of Radiology, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangzhou, 510180, Guangdong, China.
  • Wu J; Department of Radiology, Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, 510180, Guangdong, China.
  • Sun L; Department of Radiology, Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, 510180, Guangdong, China.
  • Lai S; School of Biomedical Engineering, Southern Medical University, Guangzhou, 510515, Guangdong, China.
  • Xu Y; Department of Medical Equipment, Guangdong Food and Drug Vocational College, Guangzhou, 510520, Guangdong, China.
  • Liu X; Department of Radiology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, Guangdong, China.
  • Ma Y; Department of Radiology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, Guangdong, China.
  • Zhen X; Department of Radiology, Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, 510180, Guangdong, China.
Eur Radiol ; 30(2): 1254-1263, 2020 Feb.
Article em En | MEDLINE | ID: mdl-31468159
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Carcinoma de Células Renais / Tomografia Computadorizada por Raios X / Angiomiolipoma / Aprendizado de Máquina / Neoplasias Renais Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2020 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Carcinoma de Células Renais / Tomografia Computadorizada por Raios X / Angiomiolipoma / Aprendizado de Máquina / Neoplasias Renais Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2020 Tipo de documento: Article