Reliable and accurate psoriasis disease classification in dermatology images using comprehensive feature space in machine learning paradigm.
Vimal K. ShrivastavaNarendra D. LondheRajendra S. SonawaneJasjit S. SuriPublished in: Expert Syst. Appl. (2015)
Keyphrases
- feature space
- machine learning
- image classification
- image retrieval
- classification accuracy
- pattern recognition
- feature selection
- image data
- support vector machine
- decision trees
- machine learning methods
- feature vectors
- text classification
- image database
- input image
- skin lesion
- image analysis
- machine learning algorithms
- support vector
- high dimensional
- training set
- object recognition
- image features
- extracted features
- feature set
- feature extraction
- support vector machine svm
- supervised learning
- class labels
- image set
- supervised machine learning
- high dimensionality
- training samples
- visual words
- dissimilarity measure
- mercer kernels
- high dimensional feature space
- test images
- image representation
- three dimensional
- kernel methods
- dimension reduction
- input data
- edge detection
- similarity measure
- image segmentation
- image processing
- computer vision