A comprehensive review of artificial intelligence models for screening major retinal diseases

B Hassan, H Raja, T Hassan, MU Akram… - Artificial Intelligence …, 2024 - Springer
This paper provides a systematic survey of artificial intelligence (AI) models that have been
proposed over the past decade to screen retinal diseases, which can cause severe visual …

A review of deep learning techniques for glaucoma detection

T Guergueb, MA Akhloufi - SN Computer Science, 2023 - Springer
Glaucoma is one of the major reasons for visual impairment all across the globe. The recent
advancements in machine learning techniques have greatly facilitated ophthalmologists in …

Two-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning

MN Bajwa, MI Malik, SA Siddiqui, A Dengel… - BMC medical informatics …, 2019 - Springer
Background With the advancement of powerful image processing and machine learning
techniques, Computer Aided Diagnosis has become ever more prevalent in all fields of …

Automated detection of glaucoma using structural and non structural features

AA Salam, T Khalil, MU Akram, A Jameel, I Basit - Springerplus, 2016 - Springer
Glaucoma is a chronic disease often called “silent thief of sight” as it has no symptoms and if
not detected at an early stage it may cause permanent blindness. Glaucoma progression …

A glaucoma detection using convolutional neural network

A Saxena, A Vyas, L Parashar… - … conference on electronics …, 2020 - ieeexplore.ieee.org
Glaucoma is a disease that relates to the vision of the human eye. This disease is
considered as the irreversible disease that results in the vision deterioration. Much deep …

RETRACTED ARTICLE: An IoT based predictive modeling for Glaucoma detection in optical coherence tomography images using hybrid genetic algorithm

LK Singh, Pooja, H Garg, M Khanna - Multimedia Tools and Applications, 2022 - Springer
The primary cause of irreversible blindness due to glaucoma is a silent, progressive disease
with no noticeable symptoms. This eye disease gradually and rapidly damages the optic …

Optimizing the early glaucoma detection from visual fields by combining preprocessing techniques and ensemble classifier with selection strategies

SCK Tékouabou, I Chabbar, H Toulni, W Cherif… - Expert Systems with …, 2022 - Elsevier
Artificial Intelligence is booming and many issues of research are being explored to improve
technical performance in health systems. But also making them suitable for targeted medical …

Introduction to machine learning for ophthalmologists

A Consejo, T Melcer, JJ Rozema - Seminars in ophthalmology, 2019 - Taylor & Francis
New diagnostic and imaging techniques generate such an incredible amount of data that it
is often a challenge to extract all information that could be possibly useful in clinical practice …

Detection of Glaucoma using image processing techniques: A review

BN Kumar, RP Chauhan… - 2016 International …, 2016 - ieeexplore.ieee.org
This paper presents a succinct of different types of image processing methods employed for
the detection of Glaucoma, most lethal eye disease. Glaucoma affects the optic nerve as a …

An artificial intelligence-based smart system for early glaucoma recognition using OCT images

LK Singh, H Garg, M Khanna - Research anthology on improving …, 2023 - igi-global.com
Glaucoma is a progressive and constant eye disease that leads to a deficiency of peripheral
vision and, at last, leads to irrevocable loss of vision. Detection and identification of …