An Intelligent Mobile-Based Automatic Diagnostic System to Identify Retinal Diseases using Mathematical Morphological Operations

An Intelligent Mobile-Based Automatic Diagnostic System to Identify Retinal Diseases using Mathematical Morphological Operations

Abstract

Diabetic retinopathy is considered in terms of the presence of exudates which cause vision loss in the areas affected. This study targets the development of an intelligent mobile-based automatic diagnosis integrated with a microscopic lens to identify retinal diseases at initial stage at any time or place. Exudate detection is a significant step in order obtaining an early diagnosis of diabetic retinopathy, and if they are segmented accurately, laser treatment can be applied effectively. Consequently, precise segmentation is the fundamental step in exudate extraction. This paper proposes a technique for exudate segmentation in colour retinal images using morphological operations. In this method, after pre-processing, the optic disc and blood vessels are isolated from the retinal image. Exudates are then segmented by a combination of morphological operations such as the modified regionprops function and a reconstruction technique. The proposed technique is verified against the DIARETDB1 database and achieves 85.39% sensitivity. The proposed technique achieves better exudate detection results in terms of sensitivity than other recent methods reported in the literature. In future work, our system will be deployed to a mobile platform to allow efficient and instant diagnosis.

Publication

Mohamed Omar, Alamgir Hossain, Li Zhang and Hubert P. H. Shum,
"An Intelligent Mobile-Based Automatic Diagnostic System to Identify Retinal Diseases using Mathematical Morphological Operations",
Proceedings of the 2014 International Conference on Software Knowledge Information Management and Applications (SKIMA)

Citation=15##

## Citation count from Google Scholar as of 2018

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References

BibTeX

@inproceedings{omar14intelligent,
 author={Omar, Mohamed and Hossain, Alamgir and Zhang, Li and Shum, Hubert P. H.},
 booktitle={Proceedings of the 2014 International Conference on Software Knowledge Information Management and Applications},
 series={SKIMA '14},
 title={An Intelligent Mobile-Based Automatic Diagnostic System to Identify Retinal Diseases using Mathematical Morphological Operations},
 year={2014},
 month={Dec},
 pages={1--5},
 numpages={5},
 doi={10.1109/SKIMA.2014.7083563},
 location={Dhaka, Bangladesh},
}

EndNote/RefMan

TY  - CONF
AU  - Omar, Mohamed
AU  - Hossain, Alamgir
AU  - Zhang, Li
AU  - Shum, Hubert P. H.
T2  - Proceedings of the 2014 International Conference on Software Knowledge Information Management and Applications
TI  - An Intelligent Mobile-Based Automatic Diagnostic System to Identify Retinal Diseases using Mathematical Morphological Operations
PY  - 2014
Y1  - Dec 2014
SP  - 1
EP  - 5
DO  - 10.1109/SKIMA.2014.7083563
ER  - 

Plain Text

Mohamed Omar, Alamgir Hossain, Li Zhang and Hubert P. H. Shum, "An Intelligent Mobile-Based Automatic Diagnostic System to Identify Retinal Diseases using Mathematical Morphological Operations," in SKIMA '14: Proceedings of the 2014 International Conference on Software Knowledge Information Management and Applications, pp. 1-5, Dhaka, Bangladesh, Dec 2014.

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Last update: 10/03/2019