A Study on Automatic O-RADS Classification of Sonograms of Ovarian Adnexal Lesions Based on Deep Convolutional Neural Networks.

Abstract

Authors

• Tao Liu
  Institute of Urology and Nephrology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
• Kuo Miao
  Department of Ultrasound, Fourth Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China.
• Gaoqiang Tan
  The Department of Ultrasound Medicine, Harbin Medical University Fourth Affiliated Hospital, Harbin, Heilongjiang, China.
• Hanqi Bu
  The Department of Ultrasound Medicine, Harbin Medical University Fourth Affiliated Hospital, Harbin, Heilongjiang, China.
• Xiaohui Shao
  The Department of Ultrasound Medicine, Harbin Medical University Fourth Affiliated Hospital, Harbin, Heilongjiang, China.
• Siming Wang
  Northeast Asia Research Institute of Traditional Chinese Medicine, Changchun University of Chinese Medicine, Changchun 130117, PR China; Key Laboratory of Active Substances and Biological Mechanisms of Ginseng Efficacy, Ministry of Education, Changchun University of Chinese Medicine, Changchun 130117, PR China. Electronic address: lwsm126030@126.com.
• Xiaoqiu Dong
  Department of Ultrasound, Fourth Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China. Electronic address: Dongxq0451@163.com.

Keywords

External Resources