A Three-Dimensional Deep Convolutional Neural Network for Automatic Segmentation and Diameter Measurement of Type B Aortic Dissection.

Journal: Korean journal of radiology
Published Date:

Abstract

OBJECTIVE: To provide an automatic method for segmentation and diameter measurement of type B aortic dissection (TBAD).

Authors

  • Yitong Yu
    Department of Radiology, Fuwai Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences; State Key Lab and National Center for Cardiovascular Diseases, Beijng, China.
  • Yang Gao
    State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Institute of Materia Medica, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100050, China.
  • Jianyong Wei
    ShuKun (BeiJing) Technology Co., Ltd., Beijing, China.
  • Fangzhou Liao
  • Qianjiang Xiao
    ShuKun (BeiJing) Technology Co., Ltd., Beijing, China.
  • Jie Zhang
    College of Physical Education and Health, Linyi University, Linyi, Shandong, China.
  • Weihua Yin
    Department of Radiology, Fuwai Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences; State Key Lab and National Center for Cardiovascular Diseases, Beijng, China.
  • Bin Lu
    Department of Endocrinology and Metabolism, Huadong Hospital, Fudan University, Shanghai, China.