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Performance of machine learning-based coronary computed tomography angiography for selecting revascularization candidates.
Huang, Zengfa; Ding, Yi; Yang, Yang; Zhao, Shengchao; Zhang, Shutong; Xiao, Jianwei; Ding, Chengyu; Guo, Ning; Li, Zuoqin; Zhou, Shiguang; Cao, Guijuan; Wang, Xiang.
Afiliación
  • Huang Z; Department of Radiology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Ding Y; Department of Radiology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Yang Y; Department of Radiology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Zhao S; Department of Radiology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Zhang S; Department of Radiology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Xiao J; Department of Radiology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Ding C; Shukun (Beijing) Technology Co., Ltd., Beijing, China.
  • Guo N; Shukun (Beijing) Technology Co., Ltd., Beijing, China.
  • Li Z; Department of Radiology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Zhou S; Department of Radiology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Cao G; Department of Radiology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Wang X; Department of Radiology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Acta Radiol ; 65(1): 123-132, 2024 Jan.
Article en En | MEDLINE | ID: mdl-36847335
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Enfermedad de la Arteria Coronaria / Estenosis Coronaria / Intervención Coronaria Percutánea Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Acta Radiol Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Enfermedad de la Arteria Coronaria / Estenosis Coronaria / Intervención Coronaria Percutánea Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Acta Radiol Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido