Automated quantification of wrist bone marrow oedema, pre- and post-treatment, in early rheumatoid arthritis.
Chungwun YiuJames Francis GriffithFan XiaoLin ShiBingjing ZhouSu WuLai Shan TamPublished in: Rheumatology advances in practice (2024)
The automated model developed had an excellent segmentation performance and reliable quantification of both the proportion and relative intensity of wrist BME in ERA patients, providing a more objective and efficient alternative to RAMRIS BME scoring.
Keyphrases
- deep learning
- rheumatoid arthritis
- bone marrow
- end stage renal disease
- machine learning
- newly diagnosed
- chronic kidney disease
- ejection fraction
- high throughput
- mesenchymal stem cells
- convolutional neural network
- systemic lupus erythematosus
- disease activity
- ankylosing spondylitis
- interstitial lung disease
- systemic sclerosis
- replacement therapy