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Fusion of CT images and clinical variables based on deep learning for predicting invasiveness risk of stage I lung adenocarcinoma.
Huang, Haozhe; Zheng, Dezhong; Chen, Hong; Wang, Ying; Chen, Chao; Xu, Lichao; Li, Guodong; Wang, Yaohui; He, Xinhong; Li, Wentao.
Afiliación
  • Huang H; Department of Interventional Radiology, Fudan University Shanghai Cancer Center, Xuhui District, Shanghai, China.
  • Zheng D; Department of Oncology, Shanghai Medical College, Fudan University, Xuhui District, Shanghai, China.
  • Chen H; Laboratory for Medical Imaging Informatics, Shanghai Institute of Technical Physics, Chinese Academy of Science, Hongkou District, Shanghai, China.
  • Wang Y; University of Chinese Academy of Sciences, Shijingshan District, Beijing, China.
  • Chen C; Department of Medical Imaging, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Xuhui District, Shanghai, China.
  • Xu L; Department of Interventional Radiology, Fudan University Shanghai Cancer Center, Xuhui District, Shanghai, China.
  • Li G; Department of Oncology, Shanghai Medical College, Fudan University, Xuhui District, Shanghai, China.
  • Wang Y; Department of Interventional Radiology, Fudan University Shanghai Cancer Center, Xuhui District, Shanghai, China.
  • He X; Department of Oncology, Shanghai Medical College, Fudan University, Xuhui District, Shanghai, China.
  • Li W; Department of Interventional Radiology, Fudan University Shanghai Cancer Center, Xuhui District, Shanghai, China.
Med Phys ; 49(10): 6384-6394, 2022 Oct.
Article en En | MEDLINE | ID: mdl-35938604

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Adenocarcinoma / Adenocarcinoma del Pulmón / Aprendizaje Profundo / Neoplasias Pulmonares Tipo de estudio: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Med Phys Año: 2022 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Adenocarcinoma / Adenocarcinoma del Pulmón / Aprendizaje Profundo / Neoplasias Pulmonares Tipo de estudio: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Med Phys Año: 2022 Tipo del documento: Article País de afiliación: China