Proceedings of the First International Conference on Advances in Computer Vision and Artificial Intelligence Technologies (ACVAIT 2022)

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Design a Novel Detection Using KNN Classification Technique for Early Sign of Diabetic Maculopathy

Authors
Chetan Pattebahadur1, *, Ramesh Manza1, Anupriya Kamble1, Manoj Mhaske1, Deepali Lohare1, Kavita Khobragade2
1Department of Computer Science and IT, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, Maharashtra, India
2Department of Computer Science, Fergusson College, Pune, Maharashtra, India
*Corresponding author. Email: chetu358@gmail.com
Corresponding Author
Chetan Pattebahadur
Available Online 10 August 2023.
DOI
10.2991/978-94-6463-196-8_11How to use a DOI?
Keywords
Image Processing; Maculopathy; KNN; Microanurysms
Abstract

Scientists call diabetic maculopathy a pathological disorder. It’s one of the most serious consequences of diabetes [1]. When diabetic patient having so much sugar level in the body that time its impact on some part of body one part is retina. The retina has macula when near macula having some red dots it’s called as microanurysms. Microanurysms is the first sign of diabetic maculopathy it is the initial stage of diabetic maculopathy [2]. In this research paper using image processing technique we can detect the microanurysms and its count using STARE database. For classification used KNN algorithm and got 95.7%good result.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the First International Conference on Advances in Computer Vision and Artificial Intelligence Technologies (ACVAIT 2022)
Series
Advances in Intelligent Systems Research
Publication Date
10 August 2023
ISBN
978-94-6463-196-8
ISSN
1951-6851
DOI
10.2991/978-94-6463-196-8_11How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Chetan Pattebahadur
AU  - Ramesh Manza
AU  - Anupriya Kamble
AU  - Manoj Mhaske
AU  - Deepali Lohare
AU  - Kavita Khobragade
PY  - 2023
DA  - 2023/08/10
TI  - Design a Novel Detection Using KNN Classification Technique for Early Sign of Diabetic Maculopathy
BT  - Proceedings of the First International Conference on Advances in Computer Vision and Artificial Intelligence Technologies (ACVAIT 2022)
PB  - Atlantis Press
SP  - 122
EP  - 129
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-196-8_11
DO  - 10.2991/978-94-6463-196-8_11
ID  - Pattebahadur2023
ER  -