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 …
and even blindness if not detected and treated early. Deep learning is a popular approach …
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 diseases by conventional methods is challenging, labor-intensive and prone to …
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 …
Deep learning has emerged as a promising technique in medical image analysis, offering …
Advancing Eye Disease Assessment through Deep Learning: A Comparative Study with Pre-Trained Models
ZS Alzamil - Engineering, Technology & Applied Science Research, 2024 - etasr.com
The significant global challenges in eye care are treatment, preventive quality, rehabilitation
services for eye patients, and the shortage of qualified eye care professionals. Early …
services for eye patients, and the shortage of qualified eye care professionals. Early …
Ocular Disease Recognition using EfficientNet
N Balakrishna, MBM Krishnan, EVR Sai… - … on Applied Artificial …, 2024 - ieeexplore.ieee.org
Ocular diseases present a significant public health concern globally, warranting precise and
efficient diagnostic methodologies. This research aims to develop an approach for …
efficient diagnostic methodologies. This research aims to develop an approach for …
Deep learning-based CNN for multiclassification of ocular diseases using transfer learning
Effective and timely diagnosis and treatment of ocular diseases is essential for swift recovery
of the patients. Among ocular diseases, cataract and glaucoma are the most prevalent …
of the patients. Among ocular diseases, cataract and glaucoma are the most prevalent …
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 …
Classification of eye diseases using hybrid CNN-RNN models
M Londhe - 2021 - norma.ncirl.ie
Early diagnosis of eye diseases is essential to prevent irreversible vision loss. The
traditional method used by ophthalmologists is to manually screen, images captured of back …
traditional method used by ophthalmologists is to manually screen, images captured of back …
Ocular Disease Recognition Based on Deep Learning: A Comprehensive Review
D Jameel, AM Abdulazeez - Indonesian Journal of …, 2024 - ijcs.stmikindonesia.ac.id
This review article represents a major advance in the field of medical imaging and
ophthalmology by exploring the critical role of deep learning in the detection and diagnosis …
ophthalmology by exploring the critical role of deep learning in the detection and diagnosis …
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 …