Computer-aided classification of prostate cancer grade groups from MRI images using texture features and stacked sparse autoencoder.
Bejoy AbrahamMadhu S. NairPublished in: Comput. Medical Imaging Graph. (2018)
Keyphrases
- computer aided
- prostate cancer
- texture features
- mri images
- feature vectors
- feature extraction
- texture analysis
- computer assisted
- feature set
- image analysis
- texture classification
- pattern recognition
- image features
- computer aided diagnosis
- texture images
- gabor filters
- support vector
- decision trees
- mr images
- gray level
- textural features
- texture information
- magnetic resonance imaging
- early diagnosis
- distance measure
- medical images
- classification accuracy
- mri data
- machine learning
- cad systems
- local binary pattern
- magnetic resonance images
- feature space
- face recognition
- data mining