知识增强的深度学习,用CT血管学对脑动脉瘤进行细分和检测:一项多中心研究

Jianyong Wei1, Xinyu Song1, Xiaoer Wei1

  • 1From the Clinical Research Center (J.W.) and Institute of Diagnostic and Interventional Radiology, Department of Radiology (X.S., X.W., L.D., Z.S., Y. Zhu, Y.L.), Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, No. 600 Yi Shan Rd, Shanghai 200233, China; School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China (J.W., M.W., Y.J.); Shukun (Beijing) Network Technology, Beijing, China (Zhiwen Yang, C.M.); Department of Radiology, The First Affiliated Hospital of Soochow University, Jiangsu, China (C.H.); Department of Radiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China (X.X.); Department of Cardiology, Beijing Friendship Hospital of Capital Medical University, Beijing, China (Zhenghan Yang); Department of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China (Y. Zhang); Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China (F.L.); and Department of Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China (J.L.).

Radiology
|August 20, 2024
PubMed
概括

一种新的深度学习模型在CT血管图 (CTA) 扫描上准确地检测大脑动脉瘤,与放射科医生的性能相匹配. 这种人工智能工具可以简化对这种具有挑战性的疾病的诊断.