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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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MICROANERYSM DETECTION IN FUNDUS RETINAL IMAGES USING IMAGE PROCESSING AND MACHINE LEARNING
Authors
Parul Sharma,DR. Amod Kumar,Dr. Balwinder Singh Dhaliwal
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Keywords
Diabetic retinopathy, Image-processing, Microaneurysm, Machine learning,Python
Abstract
Diabetic retinopathy is spreading at very faster rate across the globe. The opthalmic appearance of diabetes is called as Diabetic retinopathy, and the people who have diabetes are at high risk to lost their visual sense by this diabetic retinopathy. If a people have diabetes over a long time then up to 80% of people lean to evolve diabetic retinopathy. Micro vascular complication is also the most frequent cause of diabetic retinopathy. Micro vascular damage becomes manifest,is the very first point in the eye. All though there are number of techniques for diabetic retinopathy treatment like lase treatment. But primal detection of this play a vital tole in the successful and complete treatment. Human eye consist of number of component like cornea,pupil,lens,fovea,optic nerve,retina iris etc. All the component have their importance but Retina is the most essence part of the human eye. Diabetic retinopathy affect the retina and their functioning. Retina has blood vessels for blood circulation in the eye. In diabetic retinopathy blood vessels are deform and have some defects that cause the complete blindness and vision-threatening. The changes in vessels due to diabetic retinopathy bring forth lesions, which posterior the functioning of the photo acceptive cells . Fovea has the larger photosensitive cells, when the affected region reach to near the fovea serious condition occurs. At this stage vision-threatening is occurs because of eye pressure increases every time. Diabetic retinopathy detection in early stage is a great challenge because it does not have any symptoms and signs by which patient can know about it. The symptoms are shown at the stage where treatment is not useful and gave good results. There is need of high accuracy software which can detect the diabetic retinopathy at early stage, currently there is unavailability for screening software, the scanning is done by eye specialized doctor. In this paper we are proposing the solution for early stage detection of DR. DIARETDB1 database is used for all experiment and testing. In the process of DR detection steps like preprocessing, candidate extraction and feature extraction used.
IJCRT's Publication Details
Unique Identification Number - IJCRT2107562
Paper ID - 210386
Author type - Indian Author
Page Number(s) - f296-f303
Pubished in - Volume 9 | Issue 7 | July 2021
DOI (Digital Object Identifier) -
No Of Downloads - 939
Author Country - India, 560066, Bangalore, Bangalore, 560066, Science and Technology
Publisher Name - IJPUBLICATION | www.ijcrt.org | ISSN : 2320-2882
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Parul Sharma,DR. Amod Kumar,Dr. Balwinder Singh Dhaliwal, "MICROANERYSM DETECTION IN FUNDUS RETINAL IMAGES USING IMAGE PROCESSING AND MACHINE LEARNING", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 7, pp.f296-f303, July 2021, Available at :http://www.ijcrt.org/papers/IJCRT2107562.pdf
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