Optimizing Retinal Disease Diagnosis through ResNet-Based Deep Learning

DIABETIC Retinopathy is a serious eye condition. Beforehand Xdiscovery is pivotal for effective treatment. A special computer program can help descry Diabetic Retinopathy. The program uses images of the retina to make a diagnosis. This technology can prop croakers in relating the condition. Early discovery can help vision loss. Timely treatment can ameliorate patient issues. This technology has the implicit to help numerous people. The computer program uses a type of artificial intelligence. It analyzes images of the retina to descry abnormalities. The program provides accurate results. Different computer models were tested for their effectiveness. One model, called ResNet- 18, performed exceptionally well. It achieved high delicacy in detecting Diabetic Retinopathy. Diabetic Retinopathy is a significant health concern. Beforehand discovery and treatment can make a big difference. This technology can help croakers give better care.It can also ameliorate patient issues. Overall, this technology has great eventuality.

Authors

Publication Details

Published
2025-06-13
DOI
https://doi.org/10.38124/ijisrt/25jun396
Primary Topic
Retinal Imaging and Analysis
Type
article
Field-Weighted Citation Impact
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article

Optimizing Retinal Disease Diagnosis through ResNet-Based Deep Learning

Pogula Sreedevi, B. Tabitha
Retinal Imaging and Analysis
article

Optimizing Retinal Disease Diagnosis through ResNet-Based Deep Learning

Pogula Sreedevi, B. Tabitha
article en

Abstract

DIABETIC Retinopathy is a serious eye condition. Beforehand Xdiscovery is pivotal for effective treatment. A special computer program can help descry Diabetic Retinopathy. The program uses images of the retina to make a diagnosis. This technology can prop croakers in relating the condition. Early discovery can help vision loss. Timely treatment can ameliorate patient issues. This technology has the implicit to help numerous people. The computer program uses a type of artificial intelligence. It analyzes images of the retina to descry abnormalities. The program provides accurate results. Different computer models were tested for their effectiveness. One model, called ResNet- 18, performed exceptionally well. It achieved high delicacy in detecting Diabetic Retinopathy. Diabetic Retinopathy is a significant health concern. Beforehand discovery and treatment can make a big difference. This technology can help croakers give better care.It can also ameliorate patient issues. Overall, this technology has great eventuality.

Openalex Percentile: Top 79%
Retinal Imaging and Analysis
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