3D Image Segmentation With Sparse Annotation by Self-Training and Internal Registration.
Adeleh BitarafanMahdi NikdanMahdieh Soleymani BaghshahPublished in: IEEE J. Biomed. Health Informatics (2021)
Keyphrases
- image segmentation
- joint segmentation
- image registration
- variational framework
- medical imaging
- image annotation
- multiscale
- markov random field
- image understanding
- image guided
- region growing
- metadata
- gray level
- semantic annotation
- active contours
- semi supervised learning
- graph cuts
- sparse data
- active learning
- image analysis
- computer vision
- deformable registration
- segmentation method
- high dimensional
- semi supervised
- energy function
- shape prior
- registration process
- point cloud
- segmentation algorithm
- sparse representation
- deformable models
- manual annotation
- level set
- registration accuracy
- image processing
- object segmentation
- magnetic resonance images
- co training
- automatic annotation
- image segmentation algorithm
- machine learning
- multiresolution
- cost sensitive
- mutual information
- image pairs
- expectation maximization
- spectral clustering
- image reconstruction