Sparse representation of multi parametric DCE-MRI features using K-SVD for classifying gene expression based breast cancer recurrence risk.
Majid MahrooghyAhmed Bilal AshrafDania DayeCarolyn MiesMark RosenMichael D. FeldmanDespina KontosPublished in: Medical Imaging: Computer-Aided Diagnosis (2014)
Keyphrases
- sparse representation
- breast cancer
- benign and malignant
- gene expression
- dce mri
- dictionary learning
- sparse coding
- microarray
- computer aided diagnosis
- digital mammograms
- image classification
- gene expression data
- face recognition
- mri data
- signal processing
- high dimensional data
- logistic regression
- image representation
- microarray data
- image patches
- dimensionality reduction
- gene expression profiles
- breast tissue
- feature vectors
- pattern recognition
- sparse codes
- data sets
- classification accuracy
- data mining
- computer aided
- prostate cancer
- fully automatic
- co occurrence
- image features
- image data