Non-invasive preoperative prediction of Edmondson-Steiner grade of hepatocellular carcinoma based on contrast-enhanced ultrasound using ensemble learning.

Wang, Yao; Yuan, Dongbo; Sun, Hang; Pan, Xiaoguang; Lu, Fangnan; Li, Hong; Huang, Ying; Tang, Shaoshan

Wang, Yao; Yuan, Dongbo; Sun, Hang; Pan, Xiaoguang; Lu, Fangnan; Li, Hong; Huang, Ying; Tang, Shaoshan.

Afiliação

Wang Y; Department of Ultrasound, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China.
Yuan D; College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China.
Sun H; School of Information Science and Engineering, Shenyang Ligong University, Shenyang, China.
Pan X; Computer Science and Technology, School of Information and Control Engineering, Liaoning Petrochemical University, Fushun, China.
Lu F; College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China.
Li H; College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China.
Huang Y; Department of Ultrasound, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China.
Tang S; Department of Ultrasound, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China.

Front Oncol ; 13: 1116129, 2023.

Article em En | MEDLINE | ID: mdl-37476377

Palavras-chave

Edmondson-Steiner grade; contrast-enhanced ultrasound; ensemble learning; hepatocellular carcinoma; radiomics

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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Oncol Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

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