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

Computer-Aided Diagnosis (258) Artificial Intelligence (2185) Imaging Informatics (308) Medical imaging (116) Tools, Programs and Algorithms (385) Clinical Information and Decision Making (1953) Ontologies, Classifications, and Coding (332)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/79064, first published .
YOLOv12 Algorithm-Aided Detection and Classification of Lateral Malleolar Avulsion Fracture and Subfibular Ossicle Based on CT Images: Multicenter Study

YOLOv12 Algorithm-Aided Detection and Classification of Lateral Malleolar Avulsion Fracture and Subfibular Ossicle Based on CT Images: Multicenter Study

YOLOv12 Algorithm-Aided Detection and Classification of Lateral Malleolar Avulsion Fracture and Subfibular Ossicle Based on CT Images: Multicenter Study

Authors of this article:

Jiayi Liu1 Author Orcid Image ;   Peng Sun2 Author Orcid Image ;   Yousheng Yuan1 Author Orcid Image ;   Zihan Chen3 Author Orcid Image ;   Ke Tian2 Author Orcid Image ;   Qian Gao2 Author Orcid Image ;   Xiangsheng Li2 Author Orcid Image ;   Liang Xia1 Author Orcid Image ;   Jun Zhang1 Author Orcid Image ;   Nan Xu2 Author Orcid Image
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Journals

  1. Lu Z, Wen M, Liu Y, Zhang W, Bi H. MDC-Net: A Multidimensional Dynamic Convolutional Network for the Cellular Detection of Vaginitis Pathogens. IEEE Access 2025;13:212827 View