Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Review
. 2016:2016:6838976.
doi: 10.1155/2016/6838976. Epub 2016 Sep 29.

A Review on Recent Developments for Detection of Diabetic Retinopathy

Affiliations
Review

A Review on Recent Developments for Detection of Diabetic Retinopathy

Javeria Amin et al. Scientifica (Cairo). 2016.

Abstract

Diabetic retinopathy is caused by the retinal micro vasculature which may be formed as a result of diabetes mellitus. Blindness may appear as a result of unchecked and severe cases of diabetic retinopathy. Manual inspection of fundus images to check morphological changes in microaneurysms, exudates, blood vessels, hemorrhages, and macula is a very time-consuming and tedious work. It can be made easily with the help of computer-aided system and intervariability for the observer. In this paper, several techniques for detecting microaneurysms, hemorrhages, and exudates are discussed for ultimate detection of nonproliferative diabetic retinopathy. Blood vessels detection techniques are also discussed for the diagnosis of proliferative diabetic retinopathy. Furthermore, the paper elaborates a discussion on the experiments accessed by authors for the detection of diabetic retinopathy. This work will be helpful for the researchers and technical persons who want to utilize the ongoing research in this area.

PubMed Disclaimer

Figures

Figure 1
Figure 1
Stages of diabetic retinopathy. (a) Signs of NPDR. (b) Signs of PDR.
Figure 2
Figure 2
Methods for detection of diabetic retinopathy.
Figure 3
Figure 3
Optic disc in fundus image.
Figure 4
Figure 4
Fundus image with exudates.
Figure 5
Figure 5
Macula exudates and optic disc in fundus image.
Figure 6
Figure 6
Microaneurysms in retinal image.
Figure 7
Figure 7
Hemorrhages in fundus image.
Figure 8
Figure 8
Abnormal blood vessels.

Similar articles

Cited by

References

    1. Kauppi T., Kalesnykiene V., Kamarainen J.-K., et al. The DIARETDB1 diabetic retinopathy database and evaluation protocol. Proceedings of the 18th British Machine Vision Conference (BMVC '07); September 2007; pp. 15.1–15.10. - DOI
    1. Kayal D., Banerjee S. A new dynamic thresholding based technique for detection of hard exudates in digital retinal fundus image. Proceedings of the 1st International Conference on Signal Processing and Integrated Networks (SPIN '14); February 2014; pp. 141–144.
    1. Agurto C., Murray V., Barriga E., et al. Multiscale AM-FM methods for diabetic retinopathy lesion detection. IEEE Transactions on Medical Imaging. 2010;29(2):502–512. doi: 10.1109/TMI.2009.2037146. - DOI - PMC - PubMed
    1. Mahendran G., Dhanasekaran R., Narmadha Devi K. N. Identification of exudates for Diabetic Retinopathy based on morphological process and PNN classifier. Proceedings of the 3rd International Conference on Communication and Signal Processing (ICCSP '14); April 2014; Melmaruvathur, India. IEEE; pp. 1117–1121. - DOI
    1. Agurto C., Murray V., Yu H., et al. A multiscale optimization approach to detect exudates in the macula. IEEE Journal of Biomedical and Health Informatics. 2014;18(4):1328–1336. doi: 10.1109/jbhi.2013.2296399. - DOI - PubMed