Micro aneurysms detection using artificial neural networks

  • Authors

    • S. Srinivasa Reddy
    • Dr. M. Suman
    • Dr. K. Naga Prakash
    https://doi.org/10.14419/ijet.v7i4.21534
  • Blindness caused by diabetic related issues was increasing day by day, it only affects the eyes but also other sensory, internal and external organs of the body. The major cause of blindness is due to high glucose levels in the nerves nearby optic disc. Diabetic issues of eyes were known as diabetic retinopathy. For reducing the effect of diabetes in the functionality of the eyes regular screening and identification of problems while they were in the initial stages was very important. Early identification of abnormalities in the eyes such as damage to the vessels of eye, exudates, and microaneurysms will help to reduce the effect of diabetic retinopathy. This paper deals in identifying all the three procedures differently and leaves in result damage in the exudates.

  • References

    1. [1] World Health Organization, “Prevention of blindness from diabetes mellitus,†2006.

      [2] S. Pradhan, S. Balasubramanian, and V. Chandrasekaran, “An Integrated Approach Using Automatic Seed Generation and Hybrid Classification for the Detection of Red Lesions in Digital Fundus Images,†Proceedings: International Conference on Computer and Information Technology Workshops, pp. 462–467, 2008. https://doi.org/10.1109/CIT.2008.Workshops.35.

      [3] T. P. Karnowski, V. P. Govindasamy, K. W. Tobin, E. Chaum, and M. D. Abramoff, “Retina Lesion and Microaneurysm Segmentation using Morphological Reconstruction Methods with Ground-Truth Data,†International Conference of IEEE Engineering in Medicine and Biology Society, August 2008.

      [4] M. Niemeijer, B. van Ginneken, J. Staal, M. S. A. Suttorp-Schulten, and M. D. Abramoff, “Automatic detection of red lesions in digital color fundus photographs,†IEEE Transactions on Medical Imaging, vol. 24, pp. 584–592, 2005. https://doi.org/10.1109/TMI.2005.843738.

      [5] T. Spencer, J. A. Olson, K. C. McHardy, P. F. Sharp, and J. V. Forrester, “An image-processing strategy for the segmentation of microaneurysms in fluorescein angiograms of the ocular fundus,†Computers and Biomedical Research, vol. 29, pp. 284–302, 1996. https://doi.org/10.1006/cbmr.1996.0021.

      [6] M. Niemeijer, B. van Ginneken, M. J. Cree, A. Mizutani, G. Quellec, C. I. Sanchez, B. Zhang, R. Hornero, M. Lamard, C. Muramatsu, X. Wu, G. Cazuguel, J. You, A. Mayo, Q. Li, Y. Hatanaka, B. Cochener, C. Roux, F. Karray, M. Garcia, H. Fujita, and M. D. Abramoff, “Retinopathy Online Challenge: Automatic Detection of Microaneurysms in Digital Color Fundus Photographs,†IEEE Transactions on Medical Imaging, vol. 29, pp. 185–195, 2010. https://doi.org/10.1109/TMI.2009.2033909.

      [7] G. Quellec, M. Lamard, P. M. Josselin, G. Cazuguel, B. Cochener, and C. Roux, “Optimal wavelet transform for the detection of microaneurysms in retina photographs,†IEEE Transactions on Medical Imaging, vol. 9, pp. 1230–1241, 2008. https://doi.org/10.1109/TMI.2008.920619.

      [8] G. G. Gardner, D. Keating, T. H. Williamson, and A. T. Elliott, “Automatic detection of diabetic retinopathy using an artificial neural network: a screening tool,†Brit. J. Ophthalmol., vol. 80, pp. 940–944, 1996. https://doi.org/10.1136/bjo.80.11.940.

      [9] M. Garcia, C. Sanchez, M. I. Lopez, A. Diez, and R. Hornero, “Automatic Detection of Red Lesions in Retinal Images Using a Multilayer Perceptron Neural Network,†Proceedings: International Conference of IEEE Engineering in Medicine and Biology Society, pp. 5425–5428, 2008.

      [10] G. B. Kande, T. S. Savithri, P. V. Subbaiah, and M. R. N. Tagore, “Detection of red lesions in digital fundus images,†Proceedings: International Symposium on Biomedical Imaging: From Nano to Macro, pp. 558–561, 2009. https://doi.org/10.1109/ISBI.2009.5193108.

      [11] J. Wright, A. Yang, A. Ganesh, S. Sastry, and Y. Ma, “Robust Face Recognition via Sparse Representation,†IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 31, pp. 210–227, 2009. https://doi.org/10.1109/TPAMI.2008.79.

      [12] Retinopathy Online Challenge, http://roc.healthcare.uiowa.edu/, 2008.

  • Downloads

  • How to Cite

    Reddy, S. S., Suman, D. M., & Prakash, D. K. N. (2018). Micro aneurysms detection using artificial neural networks. International Journal of Engineering & Technology, 7(4), 3026-3029. https://doi.org/10.14419/ijet.v7i4.21534