Automatic detection of exudates and hemorrhages in low-contrast color fundus images using multi semantic convolutional neural network.
Turab SelçukAbdullah BeyogluAhmet AlkanPublished in: Concurr. Comput. Pract. Exp. (2022)
Keyphrases
- low contrast
- automatic detection
- fundus images
- diabetic retinopathy
- blood vessels
- convolutional neural network
- optic disk
- retinal images
- gray value
- vessel segmentation
- optic disc
- imaging modalities
- fully automatic
- cross sectional
- enhanced image
- face detection
- color images
- gray level
- color information
- phase contrast
- contrast enhancement
- region of interest
- optical coherence tomography
- medical imaging