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Differentiation of renal angiomyolipoma without visible fat from renal cell carcinoma by machine learning based on whole-tumor computed tomography texture features.
Cui, En-Ming; Lin, Fan; Li, Qing; Li, Rong-Gang; Chen, Xiang-Meng; Liu, Zhuang-Sheng; Long, Wan-Sheng.
Afiliação
  • Cui EM; Department of Radiology, Jiangmen Central Hospital, Affiliated Jiangmen Hospital of Sun Yat-Sen University, Jiangmen, PR China.
  • Lin F; Department of Radiology, The First Affiliated Hospital of Shenzhen University, Health Science Center, Shenzhen Second People's Hospital, Shenzhen, PR China.
  • Li Q; Department of Pathology, Jiangmen Central Hospital, Affiliated Jiangmen Hospital of Sun Yat-Sen University, Jiangmen, PR China.
  • Li RG; Department of Pathology, Jiangmen Central Hospital, Affiliated Jiangmen Hospital of Sun Yat-Sen University, Jiangmen, PR China.
  • Chen XM; Department of Radiology, Jiangmen Central Hospital, Affiliated Jiangmen Hospital of Sun Yat-Sen University, Jiangmen, PR China.
  • Liu ZS; Department of Radiology, Jiangmen Central Hospital, Affiliated Jiangmen Hospital of Sun Yat-Sen University, Jiangmen, PR China.
  • Long WS; Department of Radiology, Jiangmen Central Hospital, Affiliated Jiangmen Hospital of Sun Yat-Sen University, Jiangmen, PR China.
Acta Radiol ; 60(11): 1543-1552, 2019 Nov.
Article em En | MEDLINE | ID: mdl-30799634

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Interpretação de Imagem Assistida por Computador / Carcinoma de Células Renais / Tomografia Computadorizada por Raios X / Angiomiolipoma / Aprendizado de Máquina / Neoplasias Renais Tipo de estudo: Diagnostic_studies / Observational_studies Limite: Female / Humans / Male / Middle aged Idioma: En Revista: Acta Radiol Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Interpretação de Imagem Assistida por Computador / Carcinoma de Células Renais / Tomografia Computadorizada por Raios X / Angiomiolipoma / Aprendizado de Máquina / Neoplasias Renais Tipo de estudo: Diagnostic_studies / Observational_studies Limite: Female / Humans / Male / Middle aged Idioma: En Revista: Acta Radiol Ano de publicação: 2019 Tipo de documento: Article