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

Artificial Intelligence (2252) Applications of AI (317) AI Applications in Biomedical Engineering (18) Medical imaging (123) Computer-Aided Diagnosis (268) Imaging Informatics (318) Machine Learning (2173)

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 (2) Tweetations (2) Metrics

Journals

  1. Wortsman X, Lozano M, Rodriguez F, Valderrama Y, Ortiz‐Orellana G, Zattar L, de Cabo F, Ducati E, Sigrist R, Fontan C, Rezende J, Gonzalez C, Schelke L, Zavariz J, Barrera P, Velthuis P. Artificial Intelligence Deep Learning Ultrasound Discrimination of Cosmetic Fillers. Journal of Ultrasound in Medicine 2026;45(2):429 View
  2. Chien I, Hsu Y, Cheng S. Deep Learning for Ultrasound Classification to Identify Noninvasive Follicular Thyroid Neoplasms with Papillary–Like Nuclear Features. Journal of Imaging Informatics in Medicine 2026 View