Your browser doesn't support javascript.
loading
Three-Dimensional Texture Feature Analysis of Pulmonary Nodules in CT Images: Lung Cancer Predictive Models Based on Support Vector Machine Classifier.
Gao, Ni; Tian, Sijia; Li, Xia; Huang, Jian; Wang, Jingjing; Chen, Sipeng; Ma, Yuan; Liu, Xiangtong; Guo, Xiuhua.
Afiliación
  • Gao N; School of Public Health, Capital Medical University, Beijing, 100069, China.
  • Tian S; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, 100069, China.
  • Li X; School of Public Health, Capital Medical University, Beijing, 100069, China.
  • Huang J; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, 100069, China.
  • Wang J; Department of Mathematics and Statistics, La Trobe University, Melbourne, Australia.
  • Chen S; Department of Epidemiology & Public Health, University College Cork, Cork, 78746, Ireland.
  • Ma Y; School of Public Health, Capital Medical University, Beijing, 100069, China.
  • Liu X; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, 100069, China.
  • Guo X; School of Public Health, Capital Medical University, Beijing, 100069, China.
J Digit Imaging ; 33(2): 414-422, 2020 04.
Article en En | MEDLINE | ID: mdl-31529236
Asunto(s)
Palabras clave
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Nódulos Pulmonares Múltiples / Neoplasias Pulmonares Tipo de estudio: Diagnostic_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Límite: Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Año: 2020 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Nódulos Pulmonares Múltiples / Neoplasias Pulmonares Tipo de estudio: Diagnostic_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Límite: Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Año: 2020 Tipo del documento: Article