Impact Factor
7.883
Call For Paper
Volume 12 Issue 07
July 2026
Download Paper Format
Copyright Form
Author(s)
Mrs.Saranya M Karthikeyan K Naveen Kumar A Nithish K | Vinayagam R S
Abstract
This Study Presents A Deep Learning Approach For The Classification Of Optical Coherence Tomography (OCT) Retinal Images To Identify Various Retinal Diseases, Including Acrima, Cataract, Glaucoma, And Normal Retina, Utilizing The ResNet-50 Model. The Rese
Keywords
Deep Learning
Preprocessing
Classification Of OCT Images
Retinal Imaging
ResNet-50 Model Using
Convolutional Neural Networks (CNN)
Google Colab.
Paper ID
IJSARTV10I489694
Publication Date
April 12, 2024
Research Area
Bio Medical Engineering