Editorial
Editorial for “Diagnosis of Sacroiliitis Through Semi-Supervised Segmentation and Radiomics Feature Analysis of MRI Images”
First published: 12 February 2025
No abstract is available for this article.
References
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- 6Lambin P, Rios-Velazquez E, Leijenaar R, et al. Radiomics: Extracting more information from medical images using advanced feature analysis. Eur J Cancer 2012; 48(4): 441-446.
- 7Faleiros MC, Nogueira-Barbosa MH, Dalto VF, et al. Machine learning techniques for computer-aided classification of active inflammatory sacroiliitis in magnetic resonance imaging. Adv Rheumatol 2020; 60: 25.
- 8Liu L, Zhang H, Zhang W, Mei W, Huang R. Sacroiliitis diagnosis based on interpretable features and multi-task learning. Phys Med Biol 2024; 69:045034.
- 9Recht MP, White LM, Fritz J, Resnick DL. Advances in musculoskeletal imaging: Recent developments and predictions for the future. Radiology 2023; 308(2):e230615. https://doi.org/10.1148/radiol.230615.
