A deep learning classification of metacarpophalangeal joints synovial proliferation in rheumatoid arthritis by ultrasound images.
Min WuHuaiyu WuLili WuChen CuiSiyuan ShiJinfeng XuYan LiuFaJin DongPublished in: Journal of clinical ultrasound : JCU (2022)
We combined DenseNet model with ultrasound images for RA condition assessment. The feasibility of using DL to create an automatic RA condition classification system was also demonstrated. The proposed method can be an alternative to the initial screening of RA patients.
Keyphrases
- deep learning
- rheumatoid arthritis
- convolutional neural network
- disease activity
- end stage renal disease
- artificial intelligence
- machine learning
- ankylosing spondylitis
- magnetic resonance imaging
- newly diagnosed
- chronic kidney disease
- ejection fraction
- interstitial lung disease
- prognostic factors
- peritoneal dialysis
- systemic lupus erythematosus
- signaling pathway
- contrast enhanced ultrasound
- patient reported outcomes