Harnessing the Strength of ResNet50 to Improve the Ocular Disease Recognition
Among the most prevalent eye conditions, cataract is the leading cause of blindness,
impairing vision. A cataract is a condition that means clouding of the lens of the eye …
impairing vision. A cataract is a condition that means clouding of the lens of the eye …
Detection and Classification of Retinal Disorders using Deep Learning Techniques
K Sathish, B Kirubagari, J Jegan - 2023 1st International …, 2023 - ieeexplore.ieee.org
Retinal disorders among patients may result in loss of vision or blindness. These disorders
can be identified from Optical coherence Tomography (OCT) images of retina. OCT plays a …
can be identified from Optical coherence Tomography (OCT) images of retina. OCT plays a …
[PDF][PDF] A Novel Fusion Deep Learning Approach for Retinal Disease Diagnosis Enhanced by Web Application Predictive Tool.
Retinal disorders such as age-related macular degeneration and diabetic macular edema
can lead to permanent blindness. Optical coherence tomography (OCT) enables …
can lead to permanent blindness. Optical coherence tomography (OCT) enables …
Leveraging the capabilities of efficientnetb3 to classify eye diseases with reliability
The objective of this research is to examine the utilization of deep learning in the
classification of ocular diseases and healthy lives, with a specific emphasis on the …
classification of ocular diseases and healthy lives, with a specific emphasis on the …
Deep Learning-Based Ocular Disease Classification in Fundus Images
S Ortiz, MAG Jimenez - 2023 IEEE Colombian Caribbean …, 2023 - ieeexplore.ieee.org
Ocular anomalies, such as glaucoma, cataracts, and age-related macular degeneration
(AMD), represent a significant public health burden. In this paper, we propose a deep …
(AMD), represent a significant public health burden. In this paper, we propose a deep …
Automated Diagnosis of Eye Problems Using Deep Learning Techniques on Retinal Fundus Images
N Sasikaladevi, S Pradeepa, K Malvika - Meta-Learning Frameworks …, 2023 - igi-global.com
Automated diagnosis of eye diseases using deep learning techniques on retinal fundus
images has become an active area of research in recent years. The suggested method …
images has become an active area of research in recent years. The suggested method …
Detection of Ophthalmic Disorders Through Deep Feature Fusion
Given the rising prevalence of ophthalmic disorders, this study aims to meet the urgent need
for an automated technique capable of diagnosing and treating these conditions. Our …
for an automated technique capable of diagnosing and treating these conditions. Our …
Computational aspects of deep learning models for detection of eye retina abnormalities
Glaucoma, Cataract, Age-related macular degeneration,(AMD) Diabetic retinopathy (DR)
are among the leading retinal diseases. Thus, there is an active effort to create and develop …
are among the leading retinal diseases. Thus, there is an active effort to create and develop …
Deep ensemble learning for retinal image classification
Purpose: Vision impairment affects 2.2 billion people worldwide, half of which is preventable
with early detection and treatment. Currently, automatic screening of ocular pathologies …
with early detection and treatment. Currently, automatic screening of ocular pathologies …
Performance assessment of EyeNet model in glaucoma diagnosis
G Suguna, R Lavanya - Pattern Recognition and Image Analysis, 2021 - Springer
Deep learning (DL) has recently gained increasing attention in biomedical data analytics,
demonstrating robust performance and promising results. A deep network requires massive …
demonstrating robust performance and promising results. A deep network requires massive …