Deep learning-based classification of breast lesions using dynamic ultrasound video.

Journal: European journal of radiology
Published Date:

Abstract

PURPOSE: We intended to develop a deep-learning-based classification model based on breast ultrasound dynamic video, then evaluate its diagnostic performance in comparison with the classic model based on ultrasound static image and that of different radiologists.

Authors

  • Guojia Zhao
    Department of Ultrasound, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China; Department of Ultrasound, Lin Yi People's Hospital, Linyi, Shandong, China.
  • Dezhuag Kong
    Lin Yi University, Linyi, Shandong, China.
  • Xiangli Xu
    The Second Hospital of Harbin, Harbin, Heilongjiang, China.
  • Shunbo Hu
    School of Information, Linyi University, Linyi, 276005, China.
  • Ziyao Li
    Second Affiliated Hospital of Harbin Medical University, Nangang, Harbin, China.
  • Jiawei Tian
    Department of Ultrasound, Second Affiliated Hospital of Harbin Medical University, 246 Xuefu Road, Harbin City, 150086, Heilongjiang Province, People's Republic of China. jwtian2004@163.com.