Automated brain tumour detection and segmentation using superpixel-based extremely randomized trees in FLAIR MRI.
Mohammadreza SoltaninejadGuang YangTryphon LambrouNigel M. AllinsonTimothy L. JonesThomas R. BarrickFranklyn A. HoweXujiong YePublished in: Int. J. Comput. Assist. Radiol. Surg. (2017)
Keyphrases
- medical images
- mr images
- white matter
- tissue segmentation
- gray matter
- multiple sclerosis
- brain tumors
- brain structures
- magnetic resonance images
- randomized trees
- brain scans
- brain mri
- mri scans
- brain tissue
- brain images
- magnetic resonance
- corpus callosum
- human brain
- magnetic resonance imaging
- mri data
- probabilistic atlas
- brain atlas
- partial volume
- medical imaging
- dce mri
- pet images
- mri images
- anatomical structures
- random forests
- object detection
- image segmentation
- fully automatic
- region growing
- neural network
- function approximation
- segmentation method
- diffusion tensor
- superpixels
- segmentation algorithm
- automatic segmentation
- learning algorithm
- bounding box