Machine Learning Based Automated Segmentation and Hybrid Feature Analysis for Diabetic Retinopathy Classification Using Fundus Image.
Aqib AliSalman QadriWali Khan MashwaniWiyada KumamPoom KumamSamreen NaeemAtila GöktasFarrukh JamalChristophe ChesneauSania AnamMuhammad SulaimanPublished in: Entropy (2020)
Keyphrases
- feature analysis
- machine learning
- diabetic retinopathy
- automated segmentation
- image classification
- segmentation method
- image analysis
- pattern recognition
- input image
- retinal images
- fundus images
- image data
- blood vessels
- multiscale
- region of interest
- early detection
- automatic detection
- feature extraction
- pattern classification
- decision trees
- edge detection
- segmentation algorithm
- feature selection
- image segmentation
- ct scans
- high resolution
- segmentation accuracy
- support vector machine svm
- low level
- face recognition
- visual cues
- contrast enhancement
- feature space
- data mining
- statistical shape model
- clinical applications
- image processing
- computer vision
- video sequences