Deep learning enabled optimized feature selection and classification for grading diabetic retinopathy severity in the fundus image.
A. Mary DayanaW. R. Sam EmmanuelPublished in: Neural Comput. Appl. (2022)
Keyphrases
- deep learning
- diabetic retinopathy
- image data
- input image
- multiscale
- feature selection and classification
- fundus images
- retinal images
- similarity measure
- image classification
- test images
- region of interest
- image segmentation
- blood vessels
- image features
- automatic detection
- high dimensional data
- bounding box
- segmentation algorithm
- optic disc
- pattern recognition