Performance Comparison of Machine Learning Using Radiomic Features and CNN-Based Deep Learning in Benign and Malignant Classification of Vertebral Compression Fractures Using CT Scans.
- DOI
- 10.1007/s10278-025-01553-z
- Published
- 2026 Apr
- Container
- Journal of imaging informatics in medicine
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1007/s10278-025-01553-z,
title = {Performance Comparison of Machine Learning Using Radiomic Features and CNN-Based Deep Learning in Benign and Malignant Classification of Vertebral Compression Fractures Using CT Scans.},
author = {Yeom JC and Park SH and Kim YJ and Ahn TR and Kim KG},
year = {2026},
journal = {Journal of imaging informatics in medicine},
doi = {10.1007/s10278-025-01553-z},
url = {https://doi.org/10.1007/s10278-025-01553-z}
}RIS
TY - JOUR TI - Performance Comparison of Machine Learning Using Radiomic Features and CNN-Based Deep Learning in Benign and Malignant Classification of Vertebral Compression Fractures Using CT Scans. AU - Yeom JC AU - Park SH AU - Kim YJ AU - Ahn TR AU - Kim KG PY - 2026 JO - Journal of imaging informatics in medicine DO - 10.1007/s10278-025-01553-z UR - https://doi.org/10.1007/s10278-025-01553-z ER -
APA
JC, Y., SH, P., YJ, K., TR, A., & KG, K. (2026). Performance Comparison of Machine Learning Using Radiomic Features and CNN-Based Deep Learning in Benign and Malignant Classification of Vertebral Compression Fractures Using CT Scans.. Journal of imaging informatics in medicine. https://doi.org/10.1007/s10278-025-01553-z
Source records
- pubmed · retrieved 2026-09-26T17:16:51.376Z