Performances of machine learning in detecting glaucoma using fundus and retinal optical coherence tomography images: a meta-analysis
Purpose To evaluate the performance of machine learning (ML) in detecting glaucoma using
fundus and retinal optical coherence tomography (OCT) images. Design Meta-analysis …
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 …
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
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 …
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
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 …
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 …
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 …
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 …
Glaucoma is frequently caused due to abnormally high pressure in an eye that leads to …
AI-Driven Approaches for Glaucoma Detection--A Comprehensive Review
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 …
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 …
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 …
Ophthalmologists use modern research methods to detect glaucoma in its early stages, and …