Dynamic 3D radiomics analysis using artificial intelligence to assess the stage of COVID-19 on CT images.

Cai, Shengping; Chen, Yang; Zhao, Shixuan; He, Dehuai; Li, Yongjie; Xiong, Nian; Li, Zhidan; Hu, Shaoping

Cai, Shengping; Chen, Yang; Zhao, Shixuan; He, Dehuai; Li, Yongjie; Xiong, Nian; Li, Zhidan; Hu, Shaoping.

Afiliación

Cai S; Department of Radiology, Wuhan Red Cross Hospital, Wuhan, 430015, China.
Chen Y; West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, 610000, China.
Zhao S; Med-X Center for Informatics, Sichuan University, Chengdu, 610000, China.
He D; MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, 610054, China.
Li Y; West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, 610000, China.
Xiong N; Med-X Center for Informatics, Sichuan University, Chengdu, 610000, China.
Li Z; MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, 610054, China.
Hu S; Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.

Eur Radiol ; 32(7): 4760-4770, 2022 Jul.

Article en En | MEDLINE | ID: mdl-35094118

Asunto(s)

COVID-19; Inteligencia Artificial; Femenino; Humanos; Pulmón/diagnóstico por imagen; Persona de Mediana Edad; Curva ROC; Estudios Retrospectivos; Tomografía Computarizada por Rayos X/métodos

Palabras clave

Artificial intelligence; COVID-19; Stage

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: COVID-19 Tipo de estudio: Observational_studies / Prognostic_studies Límite: Female / Humans / Middle aged Idioma: En Revista: Eur Radiol Asunto de la revista: RADIOLOGIA Año: 2022 Tipo del documento: Article País de afiliación: China Pais de publicación: Alemania

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