Performances of machine learning in detecting glaucoma using fundus and retinal optical coherence tomography images: a meta-analysis

JH Wu, T Nishida, RN Weinreb, JW Lin - American Journal of …, 2022 - Elsevier
Purpose To evaluate the performance of machine learning (ML) in detecting glaucoma using
fundus and retinal optical coherence tomography (OCT) images. Design Meta-analysis …

Colorimetric hand-held sensors and biosensors with a small digital camera as signal recorder, a review

M Pohanka - Reviews in Analytical Chemistry, 2020 - degruyter.com
Sensors, biosensors, lateral flow immunoassays, portable thin-layer chromatography and
similar devices for hand-held assay are tools suitable for field or out of laboratories assays of …

Programmed Identification of Glaucoma Using Tree Seed Optimized Histogram Manipulation

V Muneeswaran, P Nagaraj, MP Rajasekaran… - Artificial Intelligence and …, 2022 - Springer
Glaucoma is a sort of visual issue that outcomes in a harmed optic nerve which is
answerable for transferring pictures to the mind. The regular strategies to distinguish …

Retinal imaging based glaucoma detection using modified pelican optimization based extreme learning machine

D Muduli, R Kumari, A Akhunzada, K Cengiz… - Scientific Reports, 2024 - nature.com
Glaucoma is defined as progressive optic neuropathy that damages the structural
appearance of the optic nerve head and is characterized by permanent blindness. For mass …

Faster R-CNN classification for the recognition of glaucoma

S Ajitha, MV Judy - Journal of Physics: Conference Series, 2020 - iopscience.iop.org
Glaucoma is an optic neuropathy characterized by progressive degeneration of retinal
ganglion cells. The early identification of Glaucoma is extremely important as it is detrimental …

An Elaborate Review of Diagnosing Glaucoma Disease Using Machine Learning and Deep Learning Techniques

R Thamilselvan, P Natesan… - 2023 International …, 2023 - ieeexplore.ieee.org
The vision of a human is very important in their life. In today's world lot of medical
advancements have arrived to treat all the diseases. In this part the earlier identification of …

Detection of glaucoma from fundus images using novel evolutionary-based deep neural network

M Madhumalini, TM Devi - Journal of Digital Imaging, 2022 - Springer
Glaucoma is an asymptotic condition that damages the optic nerves of a human eye.
Glaucoma is frequently caused due to abnormally high pressure in an eye that leads to …

AI-Driven Approaches for Glaucoma Detection--A Comprehensive Review

Y Hagiwara, OA Ciora, M Monnet, G Lancho… - arXiv preprint arXiv …, 2024 - arxiv.org
The diagnosis of glaucoma plays a critical role in the management and treatment of this
vision-threatening disease. Glaucoma is a group of eye diseases that cause blindness by …

Glaucoma Disease Detection Using Deep Learning

GV Datta, SR Kishan, A Kartik, GB Sai… - 2023 Fifth …, 2023 - ieeexplore.ieee.org
Glaucoma is an eye condition that causes the retina to slowly deteriorate over time. If the
disease is detected early enough, its progression can be stopped. Unfortunately, early …

Convolutional Neural Network Analysis of Fundus for Glaucoma Diagnosis

R Sabina, S Zarina - 2022 International Conference on Smart …, 2022 - ieeexplore.ieee.org
Glaucoma is a disease that can progress rapidly and lead to complete loss of vision.
Ophthalmologists use modern research methods to detect glaucoma in its early stages, and …