Radiomics Nomogram Model Based on TOF-MRA Images: A New Effective Method for Predicting Microaneurysms.

Kong, Delian; Li, Junrong; Lv, Yingying; Wang, Man; Li, Shenghua; Qian, Baoxin; Yu, Yusheng

Kong, Delian; Li, Junrong; Lv, Yingying; Wang, Man; Li, Shenghua; Qian, Baoxin; Yu, Yusheng.

Afiliación

Kong D; Department of Neurology, The Affiliated Jiangning Hospital with Nanjing Medical University, Nanjing, Jiangsu, 211100, People's Republic of China.
Li J; Department of Neurology, The Affiliated Jiangning Hospital with Nanjing Medical University, Nanjing, Jiangsu, 211100, People's Republic of China.
Lv Y; Department of Neurology, The Affiliated Jiangning Hospital with Nanjing Medical University, Nanjing, Jiangsu, 211100, People's Republic of China.
Wang M; Department of Radiology, The Affiliated Jiangning Hospital with Nanjing Medical University, Nanjing, Jiangsu, 211100, People's Republic of China.
Li S; Department of Neurology, The Affiliated Jiangning Hospital with Nanjing Medical University, Nanjing, Jiangsu, 211100, People's Republic of China.
Qian B; Huiying Medical Technology (Beijing); Huiying Medical Technology Co., Ltd, Beijing City, 100192, People's Republic of China.
Yu Y; Department of Radiology, The Affiliated Jiangning Hospital with Nanjing Medical University, Nanjing, Jiangsu, 211100, People's Republic of China.

Int J Gen Med ; 16: 1091-1100, 2023.

Article en En | MEDLINE | ID: mdl-37007909

Palabras clave

machine learning; microaneurysms; nomogram; radiomics

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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Int J Gen Med Año: 2023 Tipo del documento: Article

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