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 …
Insights into the growing popularity of artificial intelligence in ophthalmology
Artificial intelligence (AI) in healthcare is the use of computer-algorithms in analyzing
complex medical data to detect associations and provide diagnostic support outputs. AI and …
complex medical data to detect associations and provide diagnostic support outputs. AI and …
Deep Learning-Based Classification of Ocular Diseases Using Convolutional Neural Networks
Ocular diseases can range from mild discomfort to severe vision loss or even blindness, and
can affect people of all ages. Early detection and treatment are crucial to prevent or delay …
can affect people of all ages. Early detection and treatment are crucial to prevent or delay …
[PDF][PDF] Eye Disease Detection using CNN
BG Indumathi, B Harika, MV Raj, G Sharmila, U Kumar… - academia.edu
Medical professionals such as ophthalmologists frequently use fundus images, which are
particularly useful in detecting different retinal problems. They used this to diagnose many …
particularly useful in detecting different retinal problems. They used this to diagnose many …
[PDF][PDF] Classification of Fundus Images Based on Deep Learning for Detecting Eye Diseases.
N Chea, Y Nam - Computers, Materials & Continua, 2021 - cdn.techscience.cn
Various techniques to diagnose eye diseases such as diabetic retinopathy (DR), glaucoma
(GLC), and age-related macular degeneration (AMD), are possible through deep learning …
(GLC), and age-related macular degeneration (AMD), are possible through deep learning …
Analysis of deep learning techniques for prediction of eye diseases: A systematic review
A Bali, V Mansotra - Archives of Computational Methods in Engineering, 2024 - Springer
The prediction and early diagnosis of eye diseases are critical for effective treatment and
prevention of vision loss. The identification of eye diseases has recently been the subject of …
prevention of vision loss. The identification of eye diseases has recently been the subject of …
Diabetic Eye Health: Deep Learning Classification
P Dongre, S Kedia, J Banubakade… - … for Sustainability and …, 2024 - ieeexplore.ieee.org
In individuals around the world, Diabetic Retinopathy (DR) and Diabetic Macular Edema
(DME) is the most prevalent consequence of diabetes and a major factor in visual loss. The …
(DME) is the most prevalent consequence of diabetes and a major factor in visual loss. The …
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 …
Application of optimized Deep Learning mechanism for recognition and categorization of retinal diseases
D Alhajim, A Al-Shammar… - International Journal of …, 2024 - journals.uob.edu.bh
Retinal disorders are one of the common eye problems and its complication affects the eyes.
In some cases, the retinal diseases would not cause any symptoms or it only shows mild …
In some cases, the retinal diseases would not cause any symptoms or it only shows mild …
Deep Learning and Machine Learning Algorithms With Ocular Disease Intelligent Recognition
AI Kaleel, SB Rajakumari - Advancements in Clinical Medicine, 2024 - igi-global.com
The pivotal role of initial fundus screening in ophthalmology lies in its efficiency and cost-
effectiveness as a preventive measure against blindness resulting from eye diseases …
effectiveness as a preventive measure against blindness resulting from eye diseases …