DC-net: Dual-Consistency semi-supervised learning for 3D left atrium segmentation from MRI.
Junying WangXiaoli LiuJianqin YinPengxiang DingPublished in: Biomed. Signal Process. Control. (2022)
Keyphrases
- semi supervised learning
- left atrium
- model based segmentation
- mri scans
- semi supervised
- medical images
- unlabeled data
- supervised learning
- labeled data
- brain tumors
- mri data
- magnetic resonance images
- magnetic resonance imaging
- training data
- machine learning
- accurate segmentation
- carotid artery
- image segmentation
- unsupervised learning
- contrast enhanced
- segmentation method
- medical imaging
- segmentation algorithm
- fully automatic
- active learning
- region growing
- level set
- multiscale
- mr images
- decision trees
- brain imaging
- intensity distribution
- learning algorithm
- edge detection
- automatic segmentation
- intraoperative
- high resolution
- pairwise
- similarity measure
- three dimensional
- ct images