Automatic system for diabetic retinopathy screening based on AM-FM, partial least squares, and support vector machines.
E. Simon BarrigaVíctor MurrayCarla AgurtoMarios S. PattichisWendall BaumanGilberto ZamoraPeter SolizPublished in: ISBI (2010)
Keyphrases
- diabetic retinopathy
- partial least squares
- support vector
- retinal images
- automatic detection
- ls svm
- early detection
- optic disc
- medical experts
- blood vessels
- dimension reduction
- discriminant analysis
- principal component regression
- generalization ability
- vessel segmentation
- kernel function
- principal component analysis
- support vector machine
- cross validation
- classification accuracy
- data sets
- data mining
- machine learning
- feature selection
- data analysis
- preprocessing
- least squares
- unsupervised learning
- radial basis function
- linear discriminant analysis