An efficient semi-supervised quality control system trained using physics-based MRI-artefact generators and adversarial training.
Daniele RavìFrederik BarkhofDaniel C. AlexanderLemuel PuglisiGeoffrey J. M. ParkerArman EshaghiPublished in: Medical Image Anal. (2024)
Keyphrases
- semi supervised
- control system
- training process
- training set
- supervised learning
- labeled data
- unlabeled data
- high quality
- magnetic resonance imaging
- fully labeled
- medical images
- real time
- supervised training
- discriminative training
- training algorithm
- semi supervised learning
- pairwise
- training examples
- deformable models
- multi layer perceptron
- fuzzy logic
- training samples
- medical imaging
- multi agent
- machine learning
- training phase
- pairwise constraints
- backpropagation algorithm
- active learning
- multi view