Detection Of Eye Conditions using Deep Learning

Registration ID: IJNRD_195804

Published ID: IJNRD2305474

DOI: Click Here to Get

Mohammed Shimnaz E K , Mrs. Jyothi Prasad , Mayur Jalesh , Mohammed Danish A V , Muhammed Hashir Zubair

Convolutional neural networks , Cateract, Dataset , preprocessing.

Eye Disease is a frequent health issue that can cause partial or total visual loss. Early diagnosis is essential for eye disease to be effectively treated and managed .Deep learning has become a potent tool for the detection and diagnosis of numerous medical disorders, including eye diseases , in recent years. Convolutional Neural Network(CNN) is a deep learning technique that is often used for image analysis and pattern recognition. In this approach, we use a CNN based method for classifying various eye diseases. The suggested method extracts features from eye images and categorises them using CNN.A dataset of eye images was collected, including images of healthy eyes as well as diseased eyes which are Cataracts, Glaucoma, Bulging eyes, Uveitis, and Crossed Eyes. The dataset underwent preprocessing to normalise the images and get rid of any noise. The training and testing sets were then created from the preprocessed dataset. A CNN model is trained using the pre-processed pictures, and it is then tuned using fine-tuning methods. The proposed approach will achieve high accuracy in detecting eye conditions. The results indicate that this approach can be a valuable tool in the early detection and diagnosis of eye conditions, which can improve the outcomes of treatment and prevent vision loss.

Published Paper   E-Certificate

Mohammed Shimnaz E K, Mrs. Jyothi Prasad , Mayur Jalesh, Mohammed Danish A V, & Muhammed Hashir Zubair (May-2023). Detection Of Eye Conditions using Deep Learning. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(5), e589-e593. https://ijnrd.org/papers/IJNRD2305474.pdf

Volume 8 Issue 5, May-2023

Pages : e589-e593

Paper Reg. ID: IJNRD_195804

Published Paper Id: IJNRD2305474

Downloads: 000121993

Research Area: Engineering

Country: KANNUR, KERALA, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2305474.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2305474

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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