Enhancing Eye Diseases Diagnosis through Transfer Learning: Study of Deep Convolutional Neural Networks for Accurate Classification of Glaucoma and Diabetic …

A Tajerian, M Keshtkar, A Almasi-Hashiani, M Tajerian - 2023 - researchsquare.com
Fundoscopy, or ophthalmoscopy, is a medical procedure used to examine the inner
structures of the eye. Fundoscopic images are valuable resources for developing artificial …

A new technique for cataract eye disease diagnosis in deep learning

SS Mahmood, S Chaabouni… - Periodicals of Engineering …, 2023 - pen.ius.edu.ba
Automated diagnosis of eye diseases using fundus images is challenging because manual
analysis is time-consuming, prone to errors, and complicated. Thus, computer-aided tools for …

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 …

Retinal Eye Disease Detection Using Deep Learning

S SALMAN ALI AL HAMEEDAWI… - International Journal of …, 2024 - journal.uob.edu.bh
Globally this second blinding condition which affects millions of people is the reason for the
advocacy of early diagnosis and treatment needed to stop these conditions from gettiong …

Optimizing deep learning based retinal diseases classification on optical coherence tomography scans

AC Mandal, A Phatak - European Conference on Biomedical Optics, 2023 - opg.optica.org
ABSTRACT Optical Coherence Tomography (OCT) is a widely used medical imaging
technique for diagnosing various eye conditions and for assessing the health of the retina …

Eye disease classification using deep learning techniques

T Babaqi, M Jaradat, AE Yildirim, SH Al-Nimer… - arXiv preprint arXiv …, 2023 - arxiv.org
Eye is the essential sense organ for vision function. Due to the fact that certain eye disorders
might result in vision loss, it is essential to diagnose and treat eye diseases early on. By …

Computer aided diagnosis in ophthalmology: Deep learning applications

JN Galveia, A Travassos, FA Quadros… - Classification in BioApps …, 2018 - Springer
The automated diagnosis of ophthalmologic diseases to assist the medical ophthalmologist
in their daily practice is the subject of much research. Recently, image processing based on …

Multiple Major Ocular Disease Classification Using Deep Learning Methods: A Comprehensive Review

MS Tazoar, O Jyoti, MOF Goni… - 2024 3rd International …, 2024 - ieeexplore.ieee.org
Ocular diseases have become an important issue worldwide. Every year, various ocular
diseases affect numerous individuals, leading to blindness for many. Despite seeking …

EYENET: An Eye Disease Detection System using Convolutional Neural Network

D Helen, S Gokila - 2023 2nd International Conference on …, 2023 - ieeexplore.ieee.org
The eye is the most crucial sense organ for seeing the outside world. Diagnosing eye
disease is complex, fallible, and time-consuming. Early detection and treatment can …

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 …