Proceedings of the 3rd International Conference on Integrated Intelligent Computing Communication & Security (ICIIC 2021)

Retinopathy Based Multistage Classification of Diabeties

Authors
N A Deepak, G Savitha, D J Deepak, P. Kashyap Supraj
Corresponding Author
N A Deepak
Available Online 13 September 2021.
DOI
https://doi.org/10.2991/ahis.k.210913.008How to use a DOI?
Keywords
Retinopathy, Feature Extraction, Retinal Image Processing, Random Forest
Abstract

One of the biggest problems faced in biomedical engineering is the non-invasive assessment of the physiological changes that occur within the human body. Particularly, the detection of the abnormalities in the human eye is very difficult due to the numerous complexities involved in the process. Retinal images can be used to determine the nature of the abnormalities that affect the human eye. Standard disease identification techniques from retinal images mostly involve manual intervention. However, since human observation is extremely prone to error, the success rate of these techniques is quite scarce. Diabetic Retinopathy is one such disease of retina which occurs in people suffering from diabetes. It is a multistage progressing disease namely NDPR and PDR. Micro-aneurysms, haemorrhages and exudates are the anomalous features frequently detected in the retinal images of a person afflicted by diabetic retinopathy. Image processing techniques are applied to pre-process the Fundus image, which is followed by segmentation of anomalies. Feature extraction is done and the features that are detected are used to identify the different stages of diabetic retinopathy using Random Forest classification technique. It is observed that, the proposed algorithm results in approximate classification rate up-to 90%

Copyright
© 2021, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 3rd International Conference on Integrated Intelligent Computing Communication & Security (ICIIC 2021)
Series
Atlantis Highlights in Computer Sciences
Publication Date
13 September 2021
ISBN
978-94-6239-428-5
ISSN
2589-4900
DOI
https://doi.org/10.2991/ahis.k.210913.008How to use a DOI?
Copyright
© 2021, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - N A Deepak
AU  - G Savitha
AU  - D J Deepak
AU  - P. Kashyap Supraj
PY  - 2021
DA  - 2021/09/13
TI  - Retinopathy Based Multistage Classification of Diabeties
BT  - Proceedings of the 3rd International Conference on Integrated Intelligent Computing Communication & Security (ICIIC 2021)
PB  - Atlantis Press
SP  - 54
EP  - 60
SN  - 2589-4900
UR  - https://doi.org/10.2991/ahis.k.210913.008
DO  - https://doi.org/10.2991/ahis.k.210913.008
ID  - Deepak2021
ER  -