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

Imaging Informatics (308) Medical imaging (116) Machine Learning (2121) Visualization in eHealth (70) Osteoporosis and Osteoporosis Prevention (18) Tools, Programs and Algorithms (385) 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/75665, first published .
Deep Learning Radiomics Model Based on Computed Tomography Image for Predicting the Classification of Osteoporotic Vertebral Fractures: Algorithm Development and Validation

Deep Learning Radiomics Model Based on Computed Tomography Image for Predicting the Classification of Osteoporotic Vertebral Fractures: Algorithm Development and Validation

Deep Learning Radiomics Model Based on Computed Tomography Image for Predicting the Classification of Osteoporotic Vertebral Fractures: Algorithm Development and Validation

Authors of this article:

Jiayi Liu1 Author Orcid Image ;   Lincen Zhang1 Author Orcid Image ;   Yousheng Yuan1 Author Orcid Image ;   Jun Tang2 Author Orcid Image ;   Yongkang Liu3 Author Orcid Image ;   Liang Xia1 Author Orcid Image ;   Jun Zhang1 Author Orcid Image
Article Authors Cited by (3) Tweetations Metrics

Journals

  1. Radke K, Müller-Lutz A, Abrar D, Vach M, Rubbert C, Latz D, Antoch G, Wittsack H, Nebelung S, Wilms L. Precision Through Detail: Radiomics and Windowing Techniques as Key for Detecting Dens Axis Fractures in CT Scans. Diagnostics 2025;15(20):2599 View
  2. Naeem A, Osman O, Alsubai S, Çevik N, Zaidi A, Seyyedabbasi A, Rasheed J. Transferable CNN-based data mining approaches for medical imaging: application to spine DXA scans for osteoporosis detection. Frontiers in Computational Neuroscience 2025;19 View
  3. T S, Preethaa K, Natarajan Y, Devi M. Multi‐Channel Fusion Residual Network for Robust Bone Fracture Classification From Radiographs. IET Image Processing 2026;20(1) View