Preliminary approach to creation of a prediction model for diagnosis of Sjögren's syndrome using radiomics and machine learning techniques on computed tomography images of the parotid glands
- DOI
- 10.5624/isd.20250022
- Published
- 2025
- Container
- Imaging Science in Dentistry
- Publisher
- XMLink
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.5624/isd.20250022,
title = {Preliminary approach to creation of a prediction model for diagnosis of Sjögren's syndrome using radiomics and machine learning techniques on computed tomography images of the parotid glands},
author = {Yoshitaka Kise and Motoki Fukuda and Takuya Shibata and Takuma Funakoshi and Yoshiko Ariji and Eiichiro Ariji},
year = {2025},
journal = {Imaging Science in Dentistry},
doi = {10.5624/isd.20250022},
url = {https://doi.org/10.5624/isd.20250022}
}RIS
TY - JOUR TI - Preliminary approach to creation of a prediction model for diagnosis of Sjögren's syndrome using radiomics and machine learning techniques on computed tomography images of the parotid glands AU - Yoshitaka Kise AU - Motoki Fukuda AU - Takuya Shibata AU - Takuma Funakoshi AU - Yoshiko Ariji AU - Eiichiro Ariji PY - 2025 JO - Imaging Science in Dentistry DO - 10.5624/isd.20250022 UR - https://doi.org/10.5624/isd.20250022 ER -
APA
Kise, Y., Fukuda, M., Shibata, T., Funakoshi, T., Ariji, Y., & Ariji, E. (2025). Preliminary approach to creation of a prediction model for diagnosis of Sjögren's syndrome using radiomics and machine learning techniques on computed tomography images of the parotid glands. Imaging Science in Dentistry. https://doi.org/10.5624/isd.20250022
Source records
- crossref · retrieved 2026-09-27T02:27:27.431Z