[引用][C] Advancing Eye Disease Assessment through Deep Learning: A Comparative Study with Pre-trained Models
ZS Alzamil - International Journal of Computing and Digital …, 2024 - Unversity of Bahrain
Elevating Ocular Diagnosis: Harnessing the Power of EfficientNet for Eye Disease Classification
In response to the evolving landscape of healthcare technology this study addresses the
need for automated diagnostic tools in the field of ophthalmology. By utilizing deep learning …
need for automated diagnostic tools in the field of ophthalmology. By utilizing deep learning …
Hybrid ResNet with Bidirectional LSTM for Eye Disease Classification with Evaluation Optimizers Techniques
R Vignesh, N Muthukumaran… - … Conference on Inventive …, 2023 - ieeexplore.ieee.org
Machine learning-based classification of eye problems is a promising topic for the quick and
accurate diagnosis of eye diseases. It must also address problems including the dearth of …
accurate diagnosis of eye diseases. It must also address problems including the dearth of …
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 …
EyeCNN: exploring the potential of convolutional neural networks for identification of multiple eye diseases through retinal imagery
Background The eyes are the most important part of the human body as these are directly
connected to the brain and help us perceive the imagery in daily life whereas, eye diseases …
connected to the brain and help us perceive the imagery in daily life whereas, eye diseases …
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 …
blindness due to delayed detection and treatment. This has led to a demand for quick …
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 …
detection of ocular diseases. While predictive models exist for certain common diseases in …
EyeDeep-Net: a multi-class diagnosis of retinal diseases using deep neural network
Retinal images are a key element for ophthalmologists in diagnosing a variety of eye
illnesses. The retina is vulnerable to microvascular changes as a result of many retinal …
illnesses. The retina is vulnerable to microvascular changes as a result of many retinal …
Fine-Tuning Pre-Trained Models for Automated Analysis of Ophthalmic Imaging in Diagnosing Eye Diseases
RE Al Mamlook, A Nasayreh… - … Arab Conference on …, 2023 - ieeexplore.ieee.org
This paper searches into the convergence of such ad-vanced techniques with architectures
like DenseNet201, VGG16, InceptionResNetV2, and NasNetMobile. Our focus centers on …
like DenseNet201, VGG16, InceptionResNetV2, and NasNetMobile. Our focus centers on …