Improving Breast Cancer Diagnosis in Ultrasound Images Using Deep Learning with Feature Fusion and Attention Mechanism.

Journal: Academic radiology
Published Date: May 27, 2025

Abstract

RATIONALE AND OBJECTIVES: Early detection of malignant lesions in ultrasound images is crucial for effective cancer diagnosis and treatment. While traditional methods rely on radiologists, deep learning models can improve accuracy, reduce errors, and enhance efficiency. This study explores the application of a deep learning model for classifying benign and malignant lesions, focusing on its performance and interpretability.

Authors

  • Sohaib Asif
  • Yuqi Yan
    Department of Diagnostic Ultrasound Imaging & Interventional Therapy, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, China.
  • Bojian Feng
    Department of Diagnostic Ultrasound Imaging & Interventional Therapy, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, China.
  • Meiling Wang
    School of Communications and Information Engineering, Xi'an University of Posts and Telecommunications, Xi'an, China.
  • Yuxin Zheng
    Department of Occupational and Environmental Health, School of Public Health, Qingdao University, Qingdao 266071, China.
  • Tian Jiang
  • Ruyi Fu
    Hangzhou Fuyang Hospital of Orthopedics of Traditional Chinese Medicine Special Inspection Department, Zhejiang, China (R.F.).
  • Jincao Yao
    Department of Diagnostic Ultrasound Imaging & Interventional Therapy, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, China.
  • Lujiao Lv
    Department of Diagnostic Ultrasound Imaging &Interventional Therapy, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang, 310022, China.
  • Mei Song
    School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China.
  • Lin Sui
    Postgraduate Training Base Alliance of Wenzhou Medical University (Zhejiang Cancer Hospital), Hangzhou, Zhejiang 310022, China.
  • Zheng Yin
    Houston Methodist, Houston, TX.
  • Vicky Yang Wang
    Wenling Institute of Big Data and Artificial Intelligence in Medicine, Taizhou, 317502, China.
  • Dong Xu
    Department of Electrical Engineering and Computer Science, University of Missouri, Columbia, MO, USA.

Keywords

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