Intelligent and precise auxiliary diagnosis of breast tumors using deep learning and radiomics.

Journal: PloS one
Published Date: Jun 2, 2025

Abstract

BACKGROUND: Breast cancer is the most common malignant tumor among women worldwide, and early diagnosis is crucial for reducing mortality rates. Traditional diagnostic methods have significant limitations in terms of accuracy and consistency. Imaging is a common technique for diagnosing and predicting breast cancer, but human error remains a concern. Increasingly, artificial intelligence (AI) is being employed to assist physicians in reducing diagnostic errors.

Authors

  • Ting Wang
    CAS Key Laboratory of Separation Sciences for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China.
  • Boyang Zang
    School of Clinical Medicine, Tsinghua University, Beijing, 100084, China.
  • Chui Kong
    School of Information Science and Technology, Fudan University, Shanghai, 200433, China.
  • Yigang Li
    XinHua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine Cardiology, Shanghai, 200092, China.
  • Xiaomin Yang
    College of Electronics and Information Engineering, Sichuan University, Chengdu 610064, China.
  • Yi Yu
    Center of Reproductive Medicine, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang 315100， China.

Keywords

External Resources

Popular Topics
Recent Journals