Automated Multi-class Fetal Cardiac Vessel Segmentation in Aortic Arch Anomalies Using T2-Weighted 3D Fetal MRI.
Paula Ramirez GillilandAlena UusMilou van PoppelIrina GrigorescuJohannes SteinwegDavid F. A. LloydKuberan PushparajahAndrew P. KingMaria DeprezPublished in: PIPPI@MICCAI (2022)
Keyphrases
- multi class
- vessel segmentation
- ultrasound images
- patient specific
- blood vessels
- support vector machine
- multiple classes
- multi class classification
- retinal images
- feature selection
- pairwise
- magnetic resonance images
- magnetic resonance imaging
- cost sensitive
- multi class classifier
- neural network
- region growing
- multi class boosting
- multi class svm
- error correcting output codes
- binary classification
- carotid artery
- medical images
- image analysis
- image segmentation
- base classifiers
- low contrast
- gray level
- anatomical structures
- semi automatic
- binary classifiers
- training set
- multi class problems
- mr images
- machine learning