SEGMA: An Automatic SEGMentation Approach for Human Brain MRI Using Sliding Window and Random Forests.
Ahmed SeragAlastair G. WilkinsonEmma J. TelfordRozalia PatakySarah A. SparrowDevasuda AnblaganGillian MacnaughtScott SempleJames P. BoardmanPublished in: Frontiers Neuroinformatics (2017)
Keyphrases
- sliding window
- automatic segmentation
- random forests
- brain mri
- manual segmentation
- segmentation algorithm
- data streams
- region growing
- automatically segmenting
- anatomical structures
- random forest
- magnetic resonance images
- logistic regression
- machine learning algorithms
- decision trees
- ensemble methods
- ct data
- streaming data
- stream data
- medical images
- medical imaging
- decision tree ensembles
- data sets
- brain tissue
- high quality
- image segmentation
- concept drift
- mr images
- prediction accuracy