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Published Paper Details:
Early Stage Detection Of Glaucoma Illness By Deep Learning Approach Forecasting
Authors
G.Akalya,Dr.D.Rajinigirinath,T.Saranya
Downlaod Center
Keywords
Early Stage Detection Of Glaucoma Illness By Deep Learning Approach Forecasting
Abstract
Glaucoma is a chronic eye disease that is the second leading cause of blindness all over the
world, and a great number of people have been experiencing it. Glaucoma is a group of diseases that
cause damage to the optic nerves,which leads to irreversible partial or fullvision loss. Early detection of
glaucoma is critical and highly beneficial in preventing further deterioration. Glaucoma can occur at
any age and shows no early signs or symptoms, which makes it hard to detect. The final stage leads
to complete blindness, and a cure has not been found as of now. So, the only way is to slow down the
effects by detecting them at an early stage. And another major drawback is the limited number of
glaucoma specialists in our country, which makes it even more difficult to diagnose. Due to these
reasons, the project focuses on developing an Android application that takes the fund us image as an
input and then predicts whether it is glaucomatous or non- glaucomatous. This system is developed
using the CNN algorithm in deep
learning, which includes dataset collection,
sequential model development,training,testing,model conversion,and application UIdevelopment.The
accuracy of this model is found to be around 97%, and there are fewer false positives compared to
the previous models. This project can be extended so that it can be used on multiple operating
systems and be accessible through a web version. In the future, the fund us image can be extracted
from the general eye image itself.
IJCRT's Publication Details
Unique Identification Number - IJCRT2406230
Paper ID - 263078
Author type - Indian Author
Page Number(s) - c122-c128
Pubished in - Volume 12 | Issue 6 | June 2024
DOI (Digital Object Identifier) -
No Of Downloads - 153
Author Country - India, 600056, Chennai, Chennai, 600056, Science and Technology
Publisher Name - IJPUBLICATION | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Published Paper PDF : - http://www.ijcrt.org/papers/IJCRT2406230
Published Paper URL: : - http://ijcrt.org/viewfull.php?&p_id=IJCRT2406230
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G.Akalya,Dr.D.Rajinigirinath,T.Saranya, "Early Stage Detection Of Glaucoma Illness By Deep Learning Approach Forecasting", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 6, pp.c122-c128, June 2024, Available at :http://www.ijcrt.org/papers/IJCRT2406230.pdf
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