Differentiation of Suspicious Microcalcifications Using Deep Learning: DCIS or IDC.

Journal: Academic radiology
Published Date: Aug 20, 2025

Abstract

RATIONALE AND OBJECTIVES: To explore the value of a deep learning-based model in distinguishing between ductal carcinoma in situ (DCIS) and invasive ductal carcinoma (IDC) manifesting suspicious microcalcifications on mammography.

Authors

  • Wenjie Xu
    Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
  • Shuitang Deng
    Department of Radiology, Tongde Hospital of Zhejiang Province, No. 234 Gucui Road, Zhejiang Province, 310012, Hangzhou, China.
  • Guoqun Mao
    Department of Radiology, Tongde Hospital of Zhejiang Province, No. 234 Gucui Road, Zhejiang Province, 310012, Hangzhou, China.
  • Neng Wang
    Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
  • Yijiang Huang
    Department of Respiratory Disease, Hainan General Hospital, Hainan Clinical Medicine Research Institution, Hainan, China.
  • Cui Zhang
    School of Kinesiology, Shanghai University of Sport, Shanghai, China.
  • Guo Sa
    Department of Radiology, The First Affiliated Hospital, Zhejiang University School of Medicine, #79 Qingchun Road, Hangzhou, 310003, Zhejiang Province, P.R. China.
  • Sikai Wu
    Department of Hepatobiliary and Vascular Surgery, The First Affiliated Hospital, School of Clinical Medicine, Chengdu Medical College, Chengdu, Sichuan Province, P. R. China.
  • Yongyu An
    Department of Radiology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, China (Y.A.). Electronic address: an1518068842@163.com.

Keywords

No keywords available for this article.

External Resources

Popular Topics
Recent Journals