Your browser doesn't support javascript.
loading
Development of an AI system for accurately diagnose hepatocellular carcinoma from computed tomography imaging data.
Wang, Meiyun; Fu, Fangfang; Zheng, Bingjie; Bai, Yan; Wu, Qingxia; Wu, Jianqiang; Sun, Lin; Liu, Qiuyu; Liu, Mingge; Yang, Yichen; Shen, Hongru; Kong, Dalu; Ma, Xiaoyue; You, Peiting; Li, Xiangchun; Tian, Fei.
Afiliación
  • Wang M; Department of Radiology, Henan Provincial People's Hospital, The People's Hospital of Zhengzhou University, Zhengzhou, China.
  • Fu F; Department of Radiology, Henan Provincial People's Hospital, The People's Hospital of Zhengzhou University, Zhengzhou, China.
  • Zheng B; Department of Radiology, Henan Provincial Cancer Hospital, Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, China.
  • Bai Y; Department of Radiology, Henan Provincial People's Hospital, The People's Hospital of Zhengzhou University, Zhengzhou, China.
  • Wu Q; Department of Radiology, Henan Provincial People's Hospital, The People's Hospital of Zhengzhou University, Zhengzhou, China.
  • Wu J; Department of Radiology, Dengfeng People's Hospital, Zhengzhou, China.
  • Sun L; Department of Pathology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, China.
  • Liu Q; Department of Pathology, Henan Provincial People's Hospital, The People's Hospital of Zhengzhou University, Zhengzhou, China.
  • Liu M; Department of Pathology, Henan Provincial Cancer Hospital, Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, China.
  • Yang Y; Department of Epidemiology and Biostatistics, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, China.
  • Shen H; Department of Epidemiology and Biostatistics, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, China.
  • Kong D; Department of Abdominal Cancer, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, China.
  • Ma X; Department of Magnetic Resonance, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
  • You P; School of Mathematical Science, Peking University, Beijing, China.
  • Li X; Department of Epidemiology and Biostatistics, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, China. lixiangchun@tmu.edu.cn.
  • Tian F; Department of Abdominal Cancer, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, China. tianfei@tmu.edu.cn.
Br J Cancer ; 125(8): 1111-1121, 2021 10.
Article en En | MEDLINE | ID: mdl-34365472
Asunto(s)
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Interpretación de Imagen Radiográfica Asistida por Computador / Tomografía Computarizada por Rayos X / Carcinoma Hepatocelular / Neoplasias Hepáticas Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adolescent / Adult / Aged / Aged80 / Child / Child, preschool / Female / Humans / Male / Middle aged Idioma: En Revista: Br J Cancer Año: 2021 Tipo del documento: Article País de afiliación: China
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Interpretación de Imagen Radiográfica Asistida por Computador / Tomografía Computarizada por Rayos X / Carcinoma Hepatocelular / Neoplasias Hepáticas Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adolescent / Adult / Aged / Aged80 / Child / Child, preschool / Female / Humans / Male / Middle aged Idioma: En Revista: Br J Cancer Año: 2021 Tipo del documento: Article País de afiliación: China