Use of General Purpose GPU Programming to Enhance the Classification of Leukaemia Blast Cells in Blood Smear Images.
Stefan SkrobanskiStelios PavlidisWaidah IsmailRosline HassanSteve CounsellStephen SwiftPublished in: IDA (2012)
Keyphrases
- blood cells
- general purpose
- image classification
- ground truth
- image data
- image database
- graphics processing units
- input image
- image retrieval
- handwritten digits
- image features
- programming language
- image registration
- edge detection
- classification accuracy
- object recognition
- pattern recognition
- image analysis
- three dimensional
- microscopy images
- segmentation method
- machine learning
- feature vectors
- thematic mapper
- real time
- white blood cells
- feature selection
- feature extraction
- similarity measure
- test images
- image matching
- feature points
- text classification
- image set
- image collections
- extracted features
- image regions
- skin lesion
- support vector
- human retina
- support vector machine