Hierarchical modelling for unsupervised tumour segmentation in PET.
Ziming ZengTony ShepherdReyer ZwiggelaarPublished in: BHI (2012)
Keyphrases
- medical images
- bayesian image segmentation
- multiscale
- positron emission tomography
- image segmentation
- segmentation method
- unsupervised learning
- segmentation algorithm
- text segmentation
- supervised learning
- region growing
- segmentation accuracy
- hierarchical representation
- fully unsupervised
- segmentation of natural images
- brain mri
- magnetic resonance imaging
- image analysis
- image reconstruction
- level set
- coarse to fine
- imaging modalities
- unsupervised clustering
- segmentation of textured images
- fully automatic
- agglomerative clustering
- low level image segmentation
- magnetic resonance
- semi supervised
- pet ct
- pet images
- edge detection
- brain imaging
- shape model
- mri images
- brain tumors
- segmented images
- image processing
- object segmentation