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Segmentation and classification of breast lesions using dynamic and textural features in Dynamic Contrast Enhanced-Magnetic Resonance Imaging.
Roberta Fusco
Mario Sansone
Carlo Sansone
Antonella Petrillo
Published in:
CBMS (2012)
Keyphrases
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textural features
breast tissue
dce mri
benign and malignant
digitized mammograms
breast cancer
pixel classification
texture analysis
mri data
computer aided detection
texture features
anatomical structures
visual inspection
local binary pattern
contrast enhancement
computer aided diagnosis
active contour model
gray level
model driven
computer aided
discriminating power
medical images
digital mammograms
multiscale
feature selection
prostate cancer
magnetic resonance images
curve fitting
segmentation method
energy function
pattern recognition