An ensemble of U-Net architecture variants for left atrial segmentation.
C. WangMartin RajchlAdrian D. C. ChanEranga UkwattaPublished in: Medical Imaging: Computer-Aided Diagnosis (2019)
Keyphrases
- real time
- segmentation algorithm
- medical images
- image segmentation
- fully automatic
- management system
- level set
- segmentation method
- segmentation accuracy
- learning algorithm
- multiscale
- region growing
- software architecture
- ensemble methods
- shape prior
- fully unsupervised
- caudate nucleus
- data sets
- edge detection
- image analysis
- neural network
- prediction accuracy
- video sequences
- random forest
- object segmentation
- random forests
- computer vision
- classifier ensemble
- majority voting
- machine learning
- brain mri