Semi-automated and interactive segmentation of contrast-enhancing masses on breast DCE-MRI using spatial fuzzy clustering.
Carmelo MilitelloLeonardo RundoMariangela DimarcoAlessia OrlandoVincenzo ContiRamona WoitekIldebrando D'AngeloTommaso Vincenzo BartolottaGiorgio RussoPublished in: Biomed. Signal Process. Control. (2022)
Keyphrases
- fuzzy clustering
- semi automated
- dce mri
- interactive segmentation
- mri data
- fully automatic
- fully automated
- contrast enhancement
- computer aided diagnosis
- active contour model
- energy minimization
- breast cancer
- graph cuts
- anatomical structures
- user interaction
- fuzzy c means
- automatic segmentation
- shape prior
- image enhancement
- medical images
- semi automatic
- multiscale
- clustering algorithm
- prostate cancer
- computer aided
- image segmentation
- membership functions
- cluster analysis
- gray level
- magnetic resonance imaging
- low contrast
- visual quality
- least squares
- object segmentation
- magnetic resonance images
- machine learning
- logistic regression
- synthetic data
- semi supervised
- intensity distribution
- image analysis
- computer vision