Deep convolutional neural network-based patch classification for retinal nerve fiber layer defect detection in early glaucoma
Author:
Affiliation:
1. IIT Bhubaneswar, School of Electrical Sciences, Bhubaneswar
2. L. V. Prasad Eye Institute, Glaucoma Diagnostic Services, Bhubaneswar
3. Keele University, School of Computing and Mathematics, Faculty of Natural Sciences, Staffordshire
Publisher
SPIE-Intl Soc Optical Eng
Subject
Radiology Nuclear Medicine and imaging
Reference23 articles.
1. The number of people with glaucoma worldwide in 2010 and 2020
2. Optic Disk and Cup Segmentation From Monocular Color Retinal Images for Glaucoma Assessment
3. Statistical atlas-based descriptor for an early detection of optic disc abnormalities
4. COMPUTER DENSITOMETRY OF RETINAL NERVE FIBRE ATROPHY
5. Influence of angular width and peripapillary position of localized retinal nerve fiber layer defects on their detection by time-domain optical coherence tomography
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