Evaluating Impacts of Motion Correction on Deep Learning Approaches for Breast DCE-MRI Segmentation and Classification.
Antonio GalliMichela GravinaStefano MarroneGabriele PiantadosiMario SansoneCarlo SansonePublished in: CAIP (2) (2019)
Keyphrases
- dce mri
- motion correction
- mri data
- anatomical structures
- breast cancer
- contrast enhancement
- prostate cancer
- contrast agent
- medical images
- active contour model
- curve fitting
- fully automatic
- computer aided diagnosis
- support vector
- model driven
- pattern recognition
- decision trees
- unsupervised learning
- feature space
- mr images
- image enhancement
- energy function
- magnetic resonance imaging
- mr imaging
- medical image analysis
- training set
- medical imaging
- shape model
- machine learning
- active contours
- text classification
- color images
- multiscale
- feature extraction
- feature selection