Automated segmentation of the thyroid gland on CT using multi-atlas label fusion and random forest.
Jiamin LiuDivya NarayananKevin W. ChangLauren KimEvrim TurkbeyLe LuJianhua YaoRonald M. SummersPublished in: ISBI (2015)
Keyphrases
- random forest
- label fusion
- multi atlas
- manual segmentation
- automatic segmentation
- ct scans
- medical images
- atlas based segmentation
- segmentation method
- computed tomography
- mr images
- clinical applications
- prostate cancer
- random forests
- x ray
- fully automatic
- anatomical structures
- ct images
- medical image analysis
- decision trees
- fully automated
- active shape model
- feature set
- ensemble methods
- medical imaging
- weighted voting
- segmentation algorithm
- segmentation accuracy
- ensemble learning
- base classifiers
- multi label
- ground truth
- magnetic resonance imaging
- ensemble classifier
- gold standard
- statistical shape model
- feature selection
- support vector machine
- fusion methods
- active contours
- image analysis
- mutual information