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METHOD FOR DIAGNOSING EYE DISORDERS USING IMAGE CLASSIFICATION

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METHOD FOR DIAGNOSING EYE DISORDERS USING IMAGE CLASSIFICATION

ORDINARY APPLICATION

Published

date

Filed on 30 October 2024

Abstract

ABSTRACT A method (100) for diagnosing eye disorders using image classification. Further, the method comprising capturing a dataset of eye images categorized into at least four classes, including cataract, glaucoma, retina disease, and normal. Further, the method (100) comprising the steps of pre-processing the captured eye images to normalize the data and remove inconsistencies. Further, the method (100) comprising the steps of applying a convolutional neural network (CNN) architecture to classify the pre-processed images into the predefined categories. Further, the method (100) comprising the steps of evaluating the performance of the CNN using a confusion matrix to determine the classification accuracy and identify misclassified images. Further, the method (100) comprising the steps of generating alerts for any identified misclassifications to assist in the diagnosis of eye disorders.

Patent Information

Application ID202411083131
Invention FieldCOMPUTER SCIENCE
Date of Application30/10/2024
Publication Number46/2024

Inventors

NameAddressCountryNationality
ANUJA TIWARILOVELY PROFESSIONAL UNIVERSITY, JALANDHAR-DELHI, G.T. ROAD, PHAGWARA, PUNJAB (INDIA) -144411IndiaIndia
SIDDHARTH SINGH CHAUDHRILOVELY PROFESSIONAL UNIVERSITY, JALANDHAR-DELHI, G.T. ROAD, PHAGWARA, PUNJAB (INDIA) -144411IndiaIndia
ANAL PANDEYLOVELY PROFESSIONAL UNIVERSITY, JALANDHAR-DELHI, G.T. ROAD, PHAGWARA, PUNJAB (INDIA) -144411IndiaIndia
YELDHURTHI MANASLOVELY PROFESSIONAL UNIVERSITY, JALANDHAR-DELHI, G.T. ROAD, PHAGWARA, PUNJAB (INDIA) -144411IndiaIndia
KOMAL ARORALOVELY PROFESSIONAL UNIVERSITY, JALANDHAR-DELHI, G.T. ROAD, PHAGWARA, PUNJAB (INDIA) -144411IndiaIndia

Applicants

NameAddressCountryNationality
LOVELY PROFESSIONAL UNIVERSITYJALANDHAR-DELHI, G.T. ROAD, PHAGWARA, PUNJAB (INDIA) -144411IndiaIndia

Specification

Description:
FIELD OF THE DISCLOSURE
[0001] This invention generally relates to the field of medical image analysis and, in particular, relates to a method for diagnosing eye disorders through the comparative analysis of image classification techniques, specifically utilizing convolutional neural networks (CNN) and VGG19 architectures to enhance the accuracy of disease detection from retinal images.
BACKGROUND
[0002] The subject matter discussed in the background section should not be assumed to be prior art merely as a result of its mention in the background section. Similarly, a problem mentioned in the background section or associated with the subject matter of the background section should not be assumed to have been previously recognized in the prior art. The subject matter in the background section merely represents different approaches, which in and of themselves may also correspond to implementations of the claimed technology.
[0003] The prevalence of eye disorders, such as cataracts, glaucoma, and retinal dis , Claims:1. A method (100) for diagnosing eye disorders using image classification, the method comprising the steps of:
capturing a dataset of eye images categorized into at least four classes, including cataract, glaucoma, retina disease, and normal;
pre-processing the captured eye images to normalize the data and remove inconsistencies;
applying a convolutional neural network (CNN) architecture to classify the pre-processed images into the predefined categories;
evaluating the performance of the CNN using a confusion matrix to determine the classification accuracy and identify misclassified images; and
generating alerts for any identified misclassifications to assist in the diagnosis of eye disorders.
2. The method (100) as claimed in claim 1, wherein the convolutional neural network architecture is selected from the group consisting of a standard CNN model and a VGG19 model, further comprising the step of comparing the classification performance of the CNN model with that of the VGG19 model using metrics derived

Documents

NameDate
202411083131-COMPLETE SPECIFICATION [30-10-2024(online)].pdf30/10/2024
202411083131-DECLARATION OF INVENTORSHIP (FORM 5) [30-10-2024(online)].pdf30/10/2024
202411083131-DRAWINGS [30-10-2024(online)].pdf30/10/2024
202411083131-FIGURE OF ABSTRACT [30-10-2024(online)].pdf30/10/2024
202411083131-FORM 1 [30-10-2024(online)].pdf30/10/2024
202411083131-FORM-9 [30-10-2024(online)].pdf30/10/2024
202411083131-POWER OF AUTHORITY [30-10-2024(online)].pdf30/10/2024
202411083131-PROOF OF RIGHT [30-10-2024(online)].pdf30/10/2024
202411083131-REQUEST FOR EARLY PUBLICATION(FORM-9) [30-10-2024(online)].pdf30/10/2024

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