Application of deep learning in the detection of breast lesions with four different breast densities.

Abstract

Authors

• Hongmei Li
  Department of Radiology, Subei People's Hospital of Jiangsu Province, Yangzhou Jiangsu, China.
• Jing Ye
  d Department of Digestive System Diseases, The First Affiliated Hospital, Shihezi University School of Medicine, Shihezi, Xinjiang Province, China.
• Hao Liu
  Key Laboratory of Development and Maternal and Child Diseases of Sichuan Province, Department of Pediatrics, Sichuan University, Chengdu, China.
• Yichuan Wang
  Yizhun Medical AI, Beijing, China.
• Binbin Shi
  Department of Radiology, Subei People's Hospital of Jiangsu Province, Yangzhou Jiangsu, China.
• Juan Chen
  Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing 100191, China. chenjuan94@bjmu.edu.cn.
• Aiping Kong
  Department of Radiology, Subei People's Hospital of Jiangsu Province, Yangzhou Jiangsu, China.
• Qing Xu
  Department of Reproductive Medicine, Zigong Hospital of Women and Children Health Care, Zigong, China.
• Junhui Cai
  Department of Radiology, Subei People's Hospital of Jiangsu Province, Yangzhou Jiangsu, China.

Keywords

External Resources