Fully automatic quantification for hand synovitis in rheumatoid arthritis using pixel-classification-based segmentation network in DCE-MRI.
Wanxuan FangYijun MaoHaolin WangHiroyuki SugimoriShinji KiuchKenneth SutherlandTamotsu KamishimaPublished in: Japanese journal of radiology (2024)
Our DL-based DCE-MRI TIC shape analysis has the potential for automatic segmentation and quantification of enhanced synovium in the hands of RA patients.
Keyphrases
- deep learning
- contrast enhanced
- rheumatoid arthritis
- machine learning
- convolutional neural network
- magnetic resonance imaging
- end stage renal disease
- newly diagnosed
- ejection fraction
- chronic kidney disease
- disease activity
- prognostic factors
- magnetic resonance
- computed tomography
- diffusion weighted imaging
- interstitial lung disease
- neural network
- risk assessment
- climate change
- human health