Deep Learning for Distinguishing Mucinous Breast Carcinoma From Fibroadenoma on Ultrasound.

Journal: Clinical breast cancer
PMID: 39317636

Abstract

PURPOSE: Mucinous breast carcinoma (MBC) tends to be misdiagnosed as fibroadenomas (FA) due to its benign imaging characteristics. We aimed to develop a deep learning (DL) model to differentiate MBC and FA based on ultrasound (US) images. The model could contribute to the diagnosis of MBC for radiologists.

Authors

  • Yuan Yao
    Department of Food Science, Purdue University, West Lafayette, IN, 47907, USA. Electronic address: yao1@purdue.edu.
  • Yang Zhao
    The George Institute for Global Health, Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia.
  • Xu Guo
    Department of Ultrasound, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China; CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
  • Xiangli Xu
    The Second Hospital of Harbin, Harbin, Heilongjiang, China.
  • Baiyang Fu
    Department of Breast Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, People's Republic of China.
  • Hao Cui
    School of Information Engineering, Nanchang University, Nanchang 330031, China. hqucuihao@163.com.
  • Jian Xue
  • 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.
  • Ke Lu
    University of Chinese Academy of Sciences, No. 19A Yuquan Road, Beijing 100049, China. Electronic address: luk@ucas.ac.cn.
  • Lei Zhang
    Division of Gastroenterology, Union Hospital, Tongji Medical College Medical College, Huazhong University of Science and Technology, Wuhan, China.

Keywords

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