Investigating the impact of supervoxel segmentation for unsupervised abnormal brain asymmetry detection.
Samuel Botter MartinsAlexandru C. TeleaAlexandre X. FalcãoPublished in: Comput. Medical Imaging Graph. (2020)
Keyphrases
- image segmentation
- anomaly detection
- caudate nucleus
- reliable detection
- level set
- low signal to noise ratio
- fully unsupervised
- complex background
- detection algorithm
- multiscale
- tissue segmentation
- brain mr images
- detection method
- mri brain images
- segmentation method
- unsupervised learning
- event related potentials
- shape prior
- human brain
- object segmentation
- circular hough transform
- cell segmentation
- probabilistic atlas
- segmentation algorithm
- text segmentation
- brain mri
- brain atlas
- fully automatic
- object detection
- bayesian image segmentation
- supervised learning
- brain structures
- brain tumors
- normalized cut
- background subtraction
- corpus callosum
- brain tissue
- region growing
- mr images
- image analysis