Cataract Detection using optimized VGG19 Model by Transfer Learning perspective and its Social Benefits

The common eye ailment known as a cataract causes the lens of the eye to become clouded, impairing vision. Normally transparent, the eye's lens has the function of focusing light onto the retina at the rear of the eye. Medical Surgery is frequently used to cure cataracts, which entails removing...

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Bibliographic Details
Published in2023 Second International Conference on Augmented Intelligence and Sustainable Systems (ICAISS) pp. 593 - 596
Main Authors Gill, Kanwarpartap Singh, Anand, Vatsala, Gupta, Rupesh
Format Conference Proceeding
LanguageEnglish
Published IEEE 23.08.2023
Subjects
Cataract Classification
Cataracts
CNN
Confusion matrix
Deep Learning
Focusing
History
Model Training
Reliability
Retina
Surgery
Transfer learning
VGG19
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Summary:The common eye ailment known as a cataract causes the lens of the eye to become clouded, impairing vision. Normally transparent, the eye's lens has the function of focusing light onto the retina at the rear of the eye. Medical Surgery is frequently used to cure cataracts, which entails removing the clouded lens and substituting an artificial lens. The majority of patients who are vulnerable see a considerable improvement in their eyesight after cataract surgery, which is often safe and successful. As a result, lifestyle variables can be utilised to forecast the likelihood of cataracts. The goal of this study is to develop an image classification model based on exchange learning that can identify between a normal eye and one with cataracts. Proposed VGG19 model's outstanding classification capacity for cataract detection in the healthy human eye was proved by its accuracy rate of more than 90%.
DOI:10.1109/ICAISS58487.2023.10250513