Unsupervised malignant mammographic breast mass segmentation algorithm based on pickard Markov random field.
Sègbédji R. T. J. GoubalanYves GoussardHichem MaarefPublished in: ICIP (2016)
Keyphrases
- segmentation algorithm
- markov random field
- breast tissue
- graph cuts
- digitized mammograms
- breast cancer
- image segmentation
- benign and malignant
- mammographic images
- computer aided diagnosis
- digital mammograms
- automatic segmentation
- mrf model
- energy minimization
- energy function
- region growing
- belief propagation
- unsupervised segmentation
- pulmonary nodules
- higher order
- cad systems
- lung nodules
- object segmentation
- parameter estimation
- random fields
- segmentation method
- image restoration
- maximum a posteriori
- pairwise
- textural features
- homogeneous regions
- shape prior
- superpixels
- image analysis
- dce mri
- textured images
- multiscale
- computer aided
- loopy belief propagation
- mean shift
- conditional random fields
- input image
- medical imaging
- image processing
- interactive segmentation
- segmentation result
- level set
- computer vision