Machine-learning-based performance comparison of two-dimensional (2D) and three-dimensional (3D) CT radiomics features for intracerebral haemorrhage expansion.

Chen, Q; Fu, C; Qiu, X; He, J; Zhao, T; Zhang, Q; Hu, X; Hu, H

Chen, Q; Fu, C; Qiu, X; He, J; Zhao, T; Zhang, Q; Hu, X; Hu, H.

Afiliação

Chen Q; Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Fu C; Department of Radiology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Qiu X; Department of Radiology, Qian Tang District of Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.
He J; Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Zhao T; Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Zhang Q; Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Hu X; Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Hu H; Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China. Electronic address: hongjiehu@zju.edu.cn.

Clin Radiol ; 79(1): e26-e33, 2024 Jan.

Article em En | MEDLINE | ID: mdl-37926647

Assuntos

Radiômica; Acidente Vascular Cerebral; Humanos; Estudos Retrospectivos; Hemorragia Cerebral/diagnóstico por imagem; Tomografia Computadorizada por Raios X/métodos; Aprendizado de Máquina; Hematoma/diagnóstico por imagem

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Acidente Vascular Cerebral / Radiômica Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article

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