A radiomics model combined with XGBoost may improve the accuracy of distinguishing between mediastinal cysts and tumors: a multicenter validation analysis.

Wang, Xing; You, Xiaofang; Zhang, Li; Huang, Dayu; Aramini, Beatrice; Shabaturov, Leonid; Jiang, Gening; Fan, Jiang

Wang, Xing; You, Xiaofang; Zhang, Li; Huang, Dayu; Aramini, Beatrice; Shabaturov, Leonid; Jiang, Gening; Fan, Jiang.

Afiliação

Wang X; Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China.
You X; Department of Thoracic Surgery, Shanghai General Hospital, Shanghai, China.
Zhang L; Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China.
Huang D; Center for Data Science, Peking University, Beijing, China.
Aramini B; Department of Cardiothoracic Surgery, Huashan Hospital, Fudan University, Shanghai, China.
Shabaturov L; Division of Thoracic Surgery, Department of Diagnostic and Specialty Medicine-DIMES of the Alma Mater Studiorum, University of Bologna, G.B. Morgagni-L. Pierantoni Hospital, Forlì, Italy.
Jiang G; Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China.
Fan J; Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China.

Ann Transl Med ; 9(23): 1737, 2021 Dec.

Article em En | MEDLINE | ID: mdl-35071431

Palavras-chave

Mediastinal cysts (MCs); SHapley Additive exPlanations (SHAP); XGBoost; computerized tomography (CT); radiomics

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Ann Transl Med Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China

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