Artificial intelligence techniques for glaucoma detection through retinal images: State of the art

A Shoukat, S Akbar - Artificial Intelligence and Internet of Things, 2021 - taylorfrancis.com
The glaucoma is a retinal disease that causes permanent blindness if not detected earlier.
The asymptotic nature of glaucoma is a big hurdle in the early-stage diagnosis. The …

Automatic diagnosis of glaucoma from retinal images using deep learning approach

A Shoukat, S Akbar, SA Hassan, S Iqbal, A Mehmood… - Diagnostics, 2023 - mdpi.com
Glaucoma is characterized by increased intraocular pressure and damage to the optic
nerve, which may result in irreversible blindness. The drastic effects of this disease can be …

Towards multi-center glaucoma OCT image screening with semi-supervised joint structure and function multi-task learning

X Wang, H Chen, AR Ran, L Luo, PP Chan… - Medical Image …, 2020 - Elsevier
Glaucoma is the leading cause of irreversible blindness in the world. Structure and function
assessments play an important role in diagnosing glaucoma. Nowadays, Optical Coherence …

[HTML][HTML] Automatic segmentation of the optic nerve head region in optical coherence tomography: A methodological review

R Marques, DA De Jesus, J Barbosa-Breda… - Computer Methods and …, 2022 - Elsevier
The optic nerve head (ONH) represents the intraocular section of the optic nerve, which is
prone to damage by intraocular pressure (IOP). The advent of optical coherence tomography …

Analysis of a novel segmentation algorithm for optical coherence tomography images based on pixels intensity correlations

M Monemian, H Rabbani - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
One of the newest important medical imaging modalities is optical coherence tomography
(OCT) providing the possibility of taking pictures from optical scattering tissues such as …

Deep learning with adaptive convolutions for classification of retinal diseases via optical coherence tomography

K Karthik, M Mahadevappa - Image and Vision Computing, 2024 - Elsevier
Optical coherence tomography (OCT) uses interferometry to capture high-resolution cross-
sectional images of the retina to diagnose retinal diseases. Convolutional neural networks …

Automatic segmentation of macular holes in optical coherence tomography images: a review

OLC Mendes, AR Lucena, DR Lucena… - Journal of Artificial …, 2020 - iecscience.org
Macular holes are a blinding condition that occur due to overuse of the fovea, in which a
hole alters the natural retinal structure. Optical Coherence Tomography (OCT) is a way of …

Hybrid features and optimization‐driven recurrent neural network for glaucoma detection

F Ajesh, R Ravi - International Journal of Imaging Systems and …, 2020 - Wiley Online Library
Glaucoma is considered as the main source of irrevocable loss of vision. The earlier
diagnosis of glaucoma is essential to provide earlier treatment and to reduce vision loss …

Unifying structure analysis and surrogate-driven function regression for glaucoma OCT image screening

X Wang, H Chen, L Luo, A Ran, PP Chan… - … Image Computing and …, 2019 - Springer
Abstract Optical Coherence Tomography (OCT) imaging plays an important role in
glaucoma diagnosis in clinical practice. Early detection and timely treatment can prevent …

Macular hole detection using a new hybrid method: using multilevel thresholding and derivation on optical coherence tomographic images

S Shahalinejad, R Seifi Majdar - Computational Intelligence …, 2021 - Wiley Online Library
Optical coherence tomography (OCT) is a noninvasive imaging test. OCT imaging is
analogous to ultrasound imaging, except that it uses light instead of sound. In this type of …