Automated assessment of the smoothness of retinal layers in optical coherence tomography images using a machine learning algorithm.
Jamshid SaeidianTahereh MahmoudiHamid Riazi-EsfahaniZahra MontazerianiAlireza KhodabandeMohammad ZareiNazanin EbrahimiadibBehzad JafariAlireza Afzal AghaeiHossein AzimiElias Khalili PourPublished in: BMC Medical Imaging (2023)
Keyphrases
- optical coherence tomography
- oct images
- confocal microscopy
- spectral domain
- motion artifacts
- image analysis
- image data
- automated segmentation
- fundus images
- ground truth
- region of interest
- input image
- three dimensional
- retinal images
- segmentation method
- blood vessels
- fully automatic
- segmentation algorithm
- image registration
- computer aided
- imaging modalities
- image processing
- volumetric images
- denoising