Automated glaucoma detection using retinal layers segmentation and optic cup-to-disc ratio in optical coherence tomography images.
Aneeqa RamzanMuhammad Usman AkramArslan ShaukatSajid Gul KhawajaUbaidullah YasinWasi Haider ButtPublished in: IET Image Process. (2019)
Keyphrases
- fundus images
- optical coherence tomography
- oct images
- spectral domain
- optic nerve
- retinal images
- optic disc
- motion artifacts
- automated segmentation
- blood vessels
- imaging modalities
- image data
- cross sections
- coronary artery
- ground truth
- image analysis
- multiscale
- diabetic retinopathy
- cross section
- fully automatic
- segmentation algorithm
- image registration