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

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.

Afiliação

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 em En | MEDLINE | ID: mdl-34365472

Assuntos

Carcinoma Hepatocelular/diagnóstico por imagem; Neoplasias Hepáticas/diagnóstico por imagem; Interpretação de Imagem Radiográfica Assistida por Computador/métodos; Tomografia Computadorizada por Raios X/métodos; Adolescente; Adulto; Idoso; Idoso de 80 Anos ou mais; Área Sob a Curva; Inteligência Artificial; Criança; Pré-Escolar; Aprendizado Profundo; Feminino; Humanos; Masculino; Pessoa de Meia-Idade; Estudos Prospectivos; Adulto Jovem

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Interpretação de Imagem Radiográfica Assistida por Computador / Tomografia Computadorizada por Raios X / Carcinoma Hepatocelular / Neoplasias Hepáticas Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adolescent / Adult / Aged / Aged80 / Child / Child, preschool / Female / Humans / Male / Middle aged Idioma: En Revista: Br J Cancer Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China País de publicação: Reino Unido

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