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This paper is in the following e-collection/theme issue:

Digital Health Reviews (1837) Clinical Information and Decision Making (2093) Imaging Informatics (337) Breast Cancer (318) Artificial Intelligence (2385) Cancer Prognosis Models and Machine Learning (86) Medical imaging (137)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/77593, first published .
Accuracy of Deep Learning for Detecting Axillary Lymph Node Metastasis in Breast Cancer: Systematic Review and Meta-Analysis

Accuracy of Deep Learning for Detecting Axillary Lymph Node Metastasis in Breast Cancer: Systematic Review and Meta-Analysis

Accuracy of Deep Learning for Detecting Axillary Lymph Node Metastasis in Breast Cancer: Systematic Review and Meta-Analysis

Authors of this article:

Xueying Wang1 Author Orcid Image ;   Tiantian Li2 Author Orcid Image ;   Xiaohang Wang3 Author Orcid Image ;   Deyuan Fu1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Xueying Wang   1 * , MMed ;   Tiantian Li   2 * , MMed ;   Xiaohang Wang   3 , PhD ;   Deyuan Fu   1 * , PhD

1 Department of Breast Surgery, Northern Jiangsu People's Hospital Affiliated to Yangzhou University, Yangzhou, China

2 Department of Ultrasonography, Northern Jiangsu People's Hospital Affiliated to Yangzhou University, Yangzhou, China

3 Institute of Translational Medicine, Jiangsu Key Laboratory of Integrated Traditional Chinese and Western Medicine for Prevention and Treatment of Senile Diseases, Medical College, Yangzhou University, Yangzhou, China

*these authors contributed equally

Corresponding Author:

  • Deyuan Fu, PhD
  • Department of Breast Surgery
  • Northern Jiangsu People's Hospital Affiliated to Yangzhou University
  • No.98 Nantong West Road, Guangling District
  • Yangzhou 225001
  • China
  • Phone: 86 18051060677
  • Email: 18051060677@yzu.edu.cn