Survey on segmentation and classification approaches of optic cup and optic disc for diagnosis of glaucoma

N Thakur, M Juneja - Biomedical Signal Processing and Control, 2018 - Elsevier
Over the past years, use of the retinal fundus images has increased for diagnosis of retinal
diseases. Glaucoma is a disease which causes damage to the optic nerve of the eye …

Applications of deep learning in detection of glaucoma: a systematic review

D Mirzania, AC Thompson… - European Journal of …, 2021 - journals.sagepub.com
Glaucoma is the leading cause of irreversible blindness and disability worldwide.
Nevertheless, the majority of patients do not know they have the disease and detection of …

Superpixel classification based optic disc and optic cup segmentation for glaucoma screening

J Cheng, J Liu, Y Xu, F Yin, DWK Wong… - IEEE transactions on …, 2013 - ieeexplore.ieee.org
Glaucoma is a chronic eye disease that leads to vision loss. As it cannot be cured, detecting
the disease in time is important. Current tests using intraocular pressure (IOP) are not …

Robust optic disc and cup segmentation with deep learning for glaucoma detection

S Yu, D Xiao, S Frost, Y Kanagasingam - Computerized Medical Imaging …, 2019 - Elsevier
Glaucoma is rated as the leading cause of irreversible vision loss worldwide. Early detection
of glaucoma is important for providing timely treatment and minimizing the vision loss. In this …

A novel hybrid approach based on deep CNN to detect glaucoma using fundus imaging

R Mahum, SU Rehman, OD Okon, A Alabrah, T Meraj… - Electronics, 2021 - mdpi.com
Glaucoma is one of the eye diseases stimulated by the fluid pressure that increases in the
eyes, damaging the optic nerves and causing partial or complete vision loss. As Glaucoma …

Optic disk and cup segmentation from monocular color retinal images for glaucoma assessment

GD Joshi, J Sivaswamy… - IEEE transactions on …, 2011 - ieeexplore.ieee.org
Automatic retinal image analysis is emerging as an important screening tool for early
detection of eye diseases. Glaucoma is one of the most common causes of blindness. The …

[HTML][HTML] A novel optic disc and optic cup segmentation technique to diagnose glaucoma using deep learning convolutional neural network over retinal fundus images

HN Veena, A Muruganandham, TS Kumaran - Journal of King Saud …, 2022 - Elsevier
Glaucoma is currently leading retinal disease, which damages the eye because of the
Intraocular pressure (IOP) on the eye. If glaucoma is left untreated it will lead to vision loss …

Automated detection of Glaucoma using deep learning convolution network (G-net)

M Juneja, S Singh, N Agarwal, S Bali, S Gupta… - Multimedia Tools and …, 2020 - Springer
Glaucoma is an ocular disease that is the leading cause of irreversible blindness due to an
increased Intraocular pressure resulting in damage to the optic nerve of eye. A common …

JointRCNN: a region-based convolutional neural network for optic disc and cup segmentation

Y Jiang, L Duan, J Cheng, Z Gu, H Xia… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
Objective: The purpose of this paper is to propose a novel algorithm for joint optic disc and
cup segmentation, which aids the glaucoma detection. Methods: By assuming the shapes of …

Segmentation of optic disk and optic cup from digital fundus images for the assessment of glaucoma

PS Mittapalli, GB Kande - Biomedical Signal Processing and Control, 2016 - Elsevier
Glaucoma is an eye disease that results in irreversible loss of vision. The manual
examination of optic disk (OD) is a standard procedure used for detecting glaucoma. This …