Application of Deep CNN Networks in Ocular Disease Detection

KM Shaik, CSS Anupama, S Paluru… - … on Smart Data …, 2023 - ieeexplore.ieee.org
Currently millions of individuals worldwide are suffering from ocular diseases. Diagnosis of
ocular diseases by conventional methods is challenging, labor-intensive and prone to …

Ocular disease detection using advanced neural network based classification algorithms

NM Dipu, SA Shohan, KMA Salam - Asian Journal For Convergence In …, 2021 - asianssr.org
One of the most challenging tasks for ophthalmologists is early screening and diagnosis of
ocular diseases from fundus images. However, manual diagnosis of ocular diseases is …

CNN Fusion: A Promising Technique for Ophthalmic Disorder Diagnosis

A Biswas, R Banik - Procedia Computer Science, 2024 - Elsevier
Ophthalmic disorders represent a major global health problem leading to visual impairment
and even blindness if not detected and treated early. Deep learning is a popular approach …

Deep Learning-Based Pipeline for the Detection of Multiple Ocular Diseases

A Angadi, AN Bhat, P Ankitha, PS Kumar… - … Conference on Machine …, 2022 - Springer
Computer-aided diagnostic systems provide decision support for the early and accessible
detection of ocular diseases. While predictive models exist for certain common diseases in …

A transfer learning enabled approach for ocular disease detection and classification

M ul Hassan, AA Al-Awady, N Ahmed, M Saeed… - … Information Science and …, 2024 - Springer
Ocular diseases pose significant challenges in timely diagnosis and effective treatment.
Deep learning has emerged as a promising technique in medical image analysis, offering …

An automatic ocular disease detection scheme from enhanced fundus images based on ensembling deep CNN networks

IA Khan, FNU Asaduzzaman… - 2020 11th International …, 2020 - ieeexplore.ieee.org
Millions of people around the world suffer from various ocular diseases often leading to
blindness due to delayed detection and treatment. This has led to a demand for quick …

Detection of diabetic retinopathy and age-related macular degeneration using DenseNet based neural networks

M Singh, S Dalmia, RK Ranjan - Multimedia Tools and Applications, 2024 - Springer
The eyes are the organ of sight and one of the most highly developed sensory organs in our
body which covers a larger part of the brain. One of the most common problems that are …

A deep learning approach for ocular disease detection

S Singh, AD Bagde, S Telrandhe… - … on Emerging Trends …, 2022 - ieeexplore.ieee.org
The early identification of ocular disease (OD) detection is essential in preventing complete
blindness. Although much information is available online, ophthalmologists have valuable …

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 …

RetinalNet-500: a newly developed CNN model for eye disease detection

SA Toki, S Rahman, SMMB Fahim… - 2022 2nd …, 2022 - ieeexplore.ieee.org
Fundus images are commonly used by medical experts like ophthalmologists, which are
very helpful in detecting various retinal disorders. They used this to diagnose the different …