Your browser doesn't support javascript.
loading
The diagnostic value of quantitative texture analysis of conventional MRI sequences using artificial neural networks in grading gliomas.
Alis, D; Bagcilar, O; Senli, Y D; Isler, C; Yergin, M; Kocer, N; Islak, C; Kizilkilic, O.
  • Alis D; Istanbul Mehmet Akif Ersoy Thoracic and Cardiovascular Surgery Training and Research Hospital, Department of Radiology, Halkali, Istanbul, Turkey. Electronic address: drdenizalis@gmail.com.
  • Bagcilar O; Istanbul University-Cerrahpasa, Cerrahpasa Faculty of Medicine, Department of Radiology, KMPasa, Istanbul, Turkey.
  • Senli YD; Istanbul University-Cerrahpasa, Cerrahpasa Faculty of Medicine, Department of Radiology, KMPasa, Istanbul, Turkey.
  • Isler C; Istanbul University-Cerrahpasa, Cerrahpasa Faculty of Medicine, Department of Neurosurgery, KMPasa, Istanbul, Turkey.
  • Yergin M; Bahcesehir University, Department of Software Engineering and Applied Sciences, Istanbul, Turkey.
  • Kocer N; Istanbul University-Cerrahpasa, Cerrahpasa Faculty of Medicine, Department of Radiology, KMPasa, Istanbul, Turkey.
  • Islak C; Istanbul University-Cerrahpasa, Cerrahpasa Faculty of Medicine, Department of Radiology, KMPasa, Istanbul, Turkey.
  • Kizilkilic O; Istanbul University-Cerrahpasa, Cerrahpasa Faculty of Medicine, Department of Radiology, KMPasa, Istanbul, Turkey.
Clin Radiol ; 75(5): 351-357, 2020 05.
Article en En | MEDLINE | ID: mdl-31973941

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Neoplasias Encefálicas / Imagen por Resonancia Magnética / Interpretación de Imagen Asistida por Computador / Redes Neurales de la Computación / Glioma Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Año: 2020 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Neoplasias Encefálicas / Imagen por Resonancia Magnética / Interpretación de Imagen Asistida por Computador / Redes Neurales de la Computación / Glioma Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Año: 2020 Tipo del documento: Article