Analogizing the potency of deep learning models for glaucoma detection

YA Kalin, Y Bhardwaj, SA Dwivedi… - … on Cloud Computing …, 2022 - ieeexplore.ieee.org
The ocular disorder inhibiting vision, has been abruptly proliferating due to evolution in
mankind and its tack of existence. One such vision-threatening malady is Glaucoma, which …

[PDF][PDF] Optimization-driven CNN for Accurate and Timely Diagnosis of Eye Illnesses

N Dahiya, U Rani, SS Jazaeri - Journal of Data Science and Cyber Security … - amity.edu
If eye diseases go undetected or untreated, they can cause significant vision loss or even
blindness. The key to successful treatment of many diseases is on their early detection. In …

[HTML][HTML] A systematic review of deep learning methods applied to ocular images

OJ Perdomo Charry, FA González - Ciencia e Ingenieria …, 2020 - scielo.org.co
Artificial intelligence is having an important effect on different areas of medicine, and
ophthalmology is not the exception. In particular, deep learning methods have been applied …

Inception-Resnet V2 Based Eye Disease Classification Using Retinal Images

RE Varghese, IA Pandian - 2023 3rd International Conference …, 2023 - ieeexplore.ieee.org
Eye diseases are a diverse group of ocular conditions that can affect the visual health and
overall wellbeing of individuals. The early detection and classification of eye diseases hold …

Mixed‐decomposed convolutional network: A lightweight yet efficient convolutional neural network for ocular disease recognition

X Zhang, X Wu, Z Xiao, L Hu, Z Qiu… - CAAI Transactions …, 2024 - Wiley Online Library
Eye health has become a global health concern and attracted broad attention. Over the
years, researchers have proposed many state‐of‐the‐art convolutional neural networks …

Eye Disease Detection Using Deep Learning Models with Transfer Learning Techniques

RM Bhavadharini, KB Vardhan… - EAI Endorsed …, 2024 - publications.eai.eu
Abstract INTRODUCTION: Diabetic Retinopathy, Cataract and Glaucoma are the major eye
diseases posing significant diagnostic challenges due to their asymptotic nature at their …

Multiple ocular disease diagnosis using fundus images based on multi-label deep learning classification

O Ouda, E AbdelMaksoud, AA Abd El-Aziz, M Elmogy - Electronics, 2022 - mdpi.com
Designing computer-aided diagnosis (CAD) systems that can automatically detect ocular
diseases (ODs) has become an active research field in the health domain. Although the …

Development of a robust eye exam diagnosis platform with a deep learning model

SP Heo, H Choi - Technology and Health Care, 2023 - content.iospress.com
BACKGROUND: Eye exam diagnosis is one of the early detection methods for eye diseases.
However, such a method is dependent on expensive and unpredictable optical equipment …

En‐ConvNet: A novel approach for glaucoma detection from color fundus images using ensemble of deep convolutional neural networks

P Elangovan, MK Nath - International Journal of Imaging …, 2022 - Wiley Online Library
Glaucomatous optic neuropathy is the preeminent cause of incurable vision impairment and
blindness across the world. Manual interpretation of the pathological structures in fundus …

A Novel Deep Ensemble Learning Approach to Predict Eye Diseases from OCT Images

N Uddin, MS Mia, MN Uddin… - 2023 5th International …, 2023 - ieeexplore.ieee.org
As the world advances in technology, the classification of eye diseases is thought to have
clinical applications since it evaluates and analyzes the results. Optometrists research and …