Your browser doesn't support javascript.
loading
Computed tomography angiography-based radiomics model to identify high-risk carotid plaques.
Chen, Chao; Tang, Wei; Chen, Yong; Xu, Wenhan; Yu, Ningjun; Liu, Chao; Li, Zenghui; Tang, Zhao; Zhang, Xiaoming.
Afiliação
  • Chen C; Medical Imaging Key Laboratory of Sichuan Province and Department of Radiology, Affiliated Hospital, North Sichuan Medical College, Nanchong, China.
  • Tang W; Medical Imaging Key Laboratory of Sichuan Province and Department of Radiology, Affiliated Hospital, North Sichuan Medical College, Nanchong, China.
  • Chen Y; Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Xu W; Medical Imaging Key Laboratory of Sichuan Province and Department of Radiology, Affiliated Hospital, North Sichuan Medical College, Nanchong, China.
  • Yu N; Medical Imaging Key Laboratory of Sichuan Province and Department of Radiology, Affiliated Hospital, North Sichuan Medical College, Nanchong, China.
  • Liu C; Medical Imaging Key Laboratory of Sichuan Province and Department of Radiology, Affiliated Hospital, North Sichuan Medical College, Nanchong, China.
  • Li Z; Medical Imaging Key Laboratory of Sichuan Province and Department of Radiology, Affiliated Hospital, North Sichuan Medical College, Nanchong, China.
  • Tang Z; Medical Imaging Key Laboratory of Sichuan Province and Department of Radiology, Affiliated Hospital, North Sichuan Medical College, Nanchong, China.
  • Zhang X; Medical Imaging Key Laboratory of Sichuan Province and Department of Radiology, Affiliated Hospital, North Sichuan Medical College, Nanchong, China.
Quant Imaging Med Surg ; 13(9): 6089-6104, 2023 Sep 01.
Article em En | MEDLINE | ID: mdl-37711840
Palavras-chave
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article