Detection of diabetic retinopathy using a fusion of textural and ridgelet features of retinal images and sequential minimal optimization classifier.
Lakshmana Kumar RamasamyShynu Gopalan PadinjappurathuSeifedine Nimer KadryRobertas DamaseviciusPublished in: PeerJ Comput. Sci. (2021)
Keyphrases
- diabetic retinopathy
- retinal images
- feature set
- automatic detection
- optic disk
- vessel segmentation
- optic disc
- early detection
- blood vessels
- retinal fundus images
- medical experts
- feature space
- fundus images
- vessel detection
- matched filters
- svm classifier
- training data
- classification accuracy
- feature selection
- optical coherence tomography
- sequential minimal optimization
- region of interest
- feature extraction
- support vector
- computer vision
- machine learning
- data mining
- support vector machine
- training set
- decision trees
- image processing