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Computer-Aided Diagnosis (281) Clinical Information and Decision Making (2093) Tools, Programs and Algorithms (414) Ontologies, Classifications, and Coding (350) Imaging Informatics (337) Artificial Intelligence (2385) Medical imaging (137)

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

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  2. Struniawski K, Machlanska A, Marasek-Ciolakowska A, Konopka A. Automated Pollen Classification via Subinstance Recognition: A Comprehensive Comparison of Classical and Deep Learning Architectures. Applied Sciences 2026;16(2):720 View
  3. Lin C, Yang W, Wu G, Li W. Real-time object detection via enhanced YOLOv5s with attention mechanisms and multi-scale feature fusion. Discover Artificial Intelligence 2026 View
  4. Du X, Wang C, Liu Y, Wang J, Shen K, Zhao H. Rapid Detection and Diagnosis of Patients with Plantar Fasciitis Based on Integrated YOLOv12n and ResNet34 Framework Using Magnetic Resonance Imaging. Journal of Multidisciplinary Healthcare 2026;Volume 19:1 View

Conference Proceedings

  1. Aguas Y, Magat R, Macabales C, Umali R, Comia L. 2026 6th International Conference on Image Processing and Capsule Networks (ICIPCN). Clinically Oriented Deep Learning Framework for Multi-Class Kidney Abnormality Instance Segmentation in CT Images View