Automatic gleason grading of prostate cancer using Gabor filter and local binary patterns.
Muhammad Tahir FarooqArslan ShaukatUsman AkramOmer WaqasMasood AhmadPublished in: TSP (2017)
Keyphrases
- prostate cancer
- gabor filters
- local binary pattern
- texture analysis
- texture features
- texture descriptors
- rotation invariant
- texture classification
- texture segmentation
- feature extraction
- image guided
- face recognition
- computer aided
- texture images
- mr images
- texture information
- gabor features
- multiscale
- palmprint
- feature descriptors
- feature vectors
- image analysis
- facial expression recognition
- gray level
- scale invariant
- medical image analysis
- radiation therapy
- image features
- spatial information
- face detection
- multiresolution
- distance measure
- feature set
- three dimensional
- x ray
- training set
- object recognition
- image segmentation
- image processing
- textural features
- binary patterns
- computer vision