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

Artificial Intelligence (2129) Applications of AI (287) AI Applications in Biomedical Engineering (15) Medical imaging (110) Computer-Aided Diagnosis (251) Imaging Informatics (302) Machine Learning (2076)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/73516, first published .
Performance Evaluation of Deep Learning for the Detection and Segmentation of Thyroid Nodules: Systematic Review and Meta-Analysis

Performance Evaluation of Deep Learning for the Detection and Segmentation of Thyroid Nodules: Systematic Review and Meta-Analysis

Performance Evaluation of Deep Learning for the Detection and Segmentation of Thyroid Nodules: Systematic Review and Meta-Analysis

Authors of this article:

Jiayu Ni1 Author Orcid Image ;   Yue You1 Author Orcid Image ;   Xiaohe Wu2 Author Orcid Image ;   Xueke Chen3 Author Orcid Image ;   Jiaying Wang4 Author Orcid Image ;   Yuan Li1, 5 Author Orcid Image
Article Authors Cited by (1) Tweetations (2) Metrics

Jiayu Ni   1 * , MMed ;   Yue You   1 * , MMed ;   Xiaohe Wu   2 * , MMed ;   Xueke Chen   3 , BSc ;   Jiaying Wang   4 , BSc ;   Yuan Li   1, 5 , MMed

1 Departement of Otolaryngology-Head and Neck Surgery, Affiliated Hospital of Hangzhou Normal University, Hangzhou, China

2 Departement of Ultrasound, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China

3 Departement of Ultrasound, Yangming Hospital Affiliated to Ningbo University, Yuyao, China

4 Departement of Otolaryngology-Head and Neck Surgery, Hangzhou Normal University, Hangzhou, China

5 Department of Otorhinolaryngology, Deqing Hospital of Hangzhou Normal University (The Third People's Hospital of Deqing), Huzhou, China

*these authors contributed equally

Corresponding Author:

  • Yuan Li, MMed
  • Departement of Otolaryngology-Head and Neck Surgery
  • Affiliated Hospital of Hangzhou Normal University
  • No. 126, Wenzhou Road
  • Hangzhou 310015
  • China
  • Phone: 86 15005812373
  • Email: liyuan81629@163.com