Artificial intelligence for non-mass breast lesions detection and classification on ultrasound images: a comparative study.

Abstract

Authors

• Guoqiu Li
  Jinan University, Guangzhou, Guangdong, 510632, China.
• Hongtian Tian
  Ultrasound Department, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University), Shenzhen, Guangdong, 518020, China.
• Huaiyu Wu
  Jinan University, Guangzhou, Guangdong, 510632, China.
• Zhibin Huang
  Jinan University, Guangzhou, Guangdong, 510632, China.
• Keen Yang
  Jinan University, Guangzhou, Guangdong, 510632, China.
• Jian Li
  Fujian Key Laboratory of Traditional Chinese Veterinary Medicine and Animal Health, College of Animal Science, Fujian Agriculture and Forestry University, Fuzhou, China.
• Yuwei Luo
  Department of Thyroid and Breast Surgery, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University), Shenzhen, Guangdong, 518020, China.
• Siyuan Shi
  Department of Ultrasound, The Second Clinical Medical College，Jinan University, Guangdong, China.
• Chen Cui
  Drug Discovery and Design Center, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 555 Zuchongzhi Road, Shanghai, 201203, China; University of Chinese Academy of Sciences, No.19A Yuquan Road, Beijing, 100049, China.
• Jinfeng Xu
  Department of Ultrasound, The Second Clinical Medical College，Jinan University, Guangdong, China.
• Fajin Dong
  Department of Ultrasound, The Second Clinical Medical College, Jinan University, Shenzhen, China.

Keywords

External Resources