A Semi-automatic Multi-seed Region-Growing Approach for Uterine Fibroids Segmentation in MRgFUS Treatment.
Carmelo MilitelloSalvatore VitabileGiorgio RussoGiuliana CandianoCesare GagliardoMassimo MidiriMaria Carla GilardiPublished in: CISIS (2013)
Keyphrases
- semi automatic
- region growing
- seeded region growing
- seed selection
- segmentation method
- image segmentation
- seed points
- segmentation algorithm
- fully automatic
- brain mri
- edge detection
- vessel segmentation
- region merging
- edge information
- segmentation result
- gold standard
- segmented images
- color image segmentation
- watershed transform
- image segmentation algorithm
- fuzzy connectedness
- homogeneous regions
- object segmentation
- region competition
- boundary estimation
- active contour model
- landmark extraction
- instance based learning
- machine learning
- level set
- medical images
- input image