Eye Disease Classification Using ResNet-18 Deep Learning Architecture
The present study aims to investigate the crucial topic of automated categorization of eye
diseases using medical photographs by utilizing the capabilities of the ResNet-18 model …
diseases using medical photographs by utilizing the capabilities of the ResNet-18 model …
Enhancing eye disease classification through synergistic deep learning approaches
A Rahaman, S Mahamud, S Akter, D Saha - 2023 - dspace.bracu.ac.bd
The number of people living with blindness is about 43 million people and 295 million
people are living with moderate-to-severe visual impairment. The leading causes of most …
people are living with moderate-to-severe visual impairment. The leading causes of most …
[PDF][PDF] Review of Eye Diseases Detection and Classification Using Deep Learning Techniques
A Aizaldeen Abdullah, A Aldhahab… - BIO Web of …, 2024 - bio-conferences.org
Automated diagnosis of eye diseases using machine and deep learning models has
become increasingly popular. Glaucoma, cataracts, diabetic retinopathy, Myopia, and age …
become increasingly popular. Glaucoma, cataracts, diabetic retinopathy, Myopia, and age …
Eyes Disease Detection Using Deep Learning Methodologies
P Jain, S Patidar - 2023 10th IEEE Uttar Pradesh Section …, 2023 - ieeexplore.ieee.org
Our eyes are fundamental part of our daily lives, enabling us to engage and interact with the
surroundings. Our eyes serve as vital sensory organs, providing us with a wealth of …
surroundings. Our eyes serve as vital sensory organs, providing us with a wealth of …
Eye Disease Classification using Deep Learning
H Sharma, A Sharma - 2023 - ir.juit.ac.in
Eye diseases play a significant role in causing visual impairments and even blindness
worldwide. To prevent eye illnesses, and such vision losses that are caused due to eye …
worldwide. To prevent eye illnesses, and such vision losses that are caused due to eye …
Deep Learning Based Multi-Class Eye Disease Classification: Enhancing Vision Health Diagnosis
Retinal abnormalities impact millions of people globally. Timely detection and treatment of
these abnormalities could prevent further progression, potentially saving countless …
these abnormalities could prevent further progression, potentially saving countless …
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 …
overall wellbeing of individuals. The early detection and classification of eye diseases hold …
Eye Disease Classification Using VGG-19 Architecture
G Ravi, M Prasanth, S Rajendran - International Conference on Machine …, 2023 - Springer
The deep learning methods, more especially the VGG-19 architecture, are used to
categorize eye disorders. The objective is to create a model that is accurate and dependable …
categorize eye disorders. The objective is to create a model that is accurate and dependable …
Classification of Eye Disease from Retinal Images Using Deep Learning
Today, there are challenges in terms of eye care, including the treatment and prevention of
visual impairment and vision rehabilitation services. Since the eye is an organ that gives …
visual impairment and vision rehabilitation services. Since the eye is an organ that gives …
An efficient deep learning model for eye disease classification
Early detection of eye diseases is crucial, particularly for individuals with a family history of
eye diseases, people over 60 years of age, individuals with diabetes, and those who have a …
eye diseases, people over 60 years of age, individuals with diabetes, and those who have a …