Optimization of a fuzzy C-means approach to determining probability of lesion malignancy and quantifying lesion enhancement heterogeneity in breast DCE-MRI.
Jeremy Bancroft BrownMaryellen L. GigerNeha BhooshanGillian NewsteadSanaz JansenPublished in: Medical Imaging: Computer-Aided Diagnosis (2010)
Keyphrases
- dce mri
- dynamic contrast enhanced mri
- fuzzy c means
- breast cancer
- breast tissue
- benign and malignant
- fuzzy clustering
- contrast enhancement
- breast mri
- computer aided diagnosis
- mri data
- clustering algorithm
- anatomical structures
- clustering method
- image segmentation
- image enhancement
- active contour model
- fuzzy c means clustering
- image processing
- k means
- prostate cancer
- magnetic resonance imaging
- medical images
- data mining
- fully automatic
- membership functions
- decision trees
- textural features
- medical imaging
- cad systems
- markov random field
- fuzzy logic
- global optimization
- computer aided