Journal of Engineering and Applied Sciences

Year: 2019
Volume: 14
Issue: 23
Page No. 8804 - 8811

Optic Disc and Cup Boundary Segmentation for Glaucoma Screening in Fundus Image

Authors : R. Shanthi and S. Prabakaran

References

Achanta, R., A. Shaji, K. Smith, A. Lucchi and P. Fua et al., 2012. SLIC super pixels compared to state-of-the-art super pixel methods. IEEE. Trans. Pattern Anal. Mach. Intell., 34: 2274-2282.
CrossRef  |  Direct Link  |  

Almekinder, R.N.E., 2018. Gallup report shows diabetes increasing at disturbing rates in the US. The Diabetes Council.com., USA. https://www.thediabetescouncil.com/

Anonymous, 2012. Eye exam and tests for glaucoma diagnosis. The Eye Digest, University of Illinois Eye and Ear Infirmary, Chicago, Illinois, USA.

Anonymous, 2012. Glaucoma causes optic nerve cupping (atrophy) and vision loss. The Eye Digest, University of Illinois Eye and Ear Infirmary, Chicago, Illinois, USA. https://web.archive.org/web/20120708075410/http:/www.agingeye.net/glaucoma/glaucomainformation.php

Aquino, A., M.E. Gegundez-Arias and D. Marin, 2010. Detecting the optic disc boundary in digital fundus images using morphological, edge detection and feature extraction techniques. IEEE Trans. Med. Imag., 29: 1860-1869.
CrossRef  |  

Cheng, J., J. Liu, D.W.K. Wong, F. Yin and C. Cheung et al., 2011. Automatic optic disc segmentation with peripapillary atrophy elimination. Proceedings of the 2011 Annual International Conference on IEEE Engineering in Medicine and Biology Society (EMBC’11), August 30-September 3, 2011, IEEE, Boston, Massachusetts, USA., ISBN:978-1-4244-4121-1, pp: 6224-6227.

Cheng, J., J. Liu, Y. Xu, F. Yin and D.W.K. Wong et al., 2012. Superpixel classification for initialization in model based optic disc segmentation. Proceedings of the 2012 Annual International Conference on IEEE Engineering in Medicine and Biology Society, August 28-September 1, 2012, IEEE, San Diego, California, USA., ISBN:978-1-4244-4119-8, pp: 1450-1453.

Fraga, A., N. Barreira, M. Ortega, M.G. Penedo and M.J. Carreira, 2011. Precise segmentation of the optic disc in retinal fundus images. Proceedings of the International Conference on Computer Aided Systems Theory (EUROCAST 2011), February 6-11, 2011, Springer, Berlin, Germany, ISBN:978-3-642-27548-7, pp: 584-591.

Joshi, G.D., J. Sivaswamy and S.R. Krishnadas, 2011. Optic disk and cup segmentation from monocular color retinal images for glaucoma assessment. IEEE. Trans. Med. Imag., 30: 1192-1205.
CrossRef  |  PubMed  |  Direct Link  |  

Mahfouz, A.E. and A.S. Fahmy, 2009. Ultrafast localization of the optic disc using dimensionality reduction of the search space. Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part II (MICCAI 2009) Vol. 5762, September 20-24, 2009, ACM, London, UK., ISBN:978-3-642-04270-6, pp: 985-992.

Niemeijer, M., M.D. Abramoff and B.V. Ginneken, 2006. Segmentation of the optic disc, macula and vascular arch in fundus photographs. IEEE. Trans. Med. Imaging, 26: 116-127.
CrossRef  |  PubMed  |  Direct Link  |  

Privitera, C.M. and L.W. Stark, 2000. Algorithms for defining visual regions-of-interest: Comparison with eye fixations. IEEE. Trans. Pattern Anal. Mach. Intell., 22: 970-982.
CrossRef  |  Direct Link  |  

Quigley, H.A. and A.T. Broman, 2006. The number of people with glaucoma worldwide in 2010 and 2020. Br. J. Ophthalmol., 90: 262-267.
CrossRef  |  PubMed  |  Direct Link  |  

Shanthi, R. and S. Prabakaran, 2018. Detection of microaneurysms and hemorrhages in fundus image for glaucoma diagnosis. Int. J. Eng. Technol., 7: 391-396.

Shanthi, R. and S. Prabakaran, 2019. Effective utilization of artificial intelligence for predicting glaucoma in fundus image. Caribbean J. Sci., 53: 902-912.

Stough, T.M. and C.E. Brodley, 2001. Focusing attention on objects of interest using multiple matched filters. IEEE. Trans. Image Process., 10: 419-426.
CrossRef  |  PubMed  |  Direct Link  |  

Thylefors, B. and A.D. Negrel, 1994. The global impact of glaucoma. Bull. World Health Organ., 72: 323-326.
PubMed  |  Direct Link  |  

Tjandrasa, H., A. Wijayanti and N. Suciati, 2012. Optic nerve head segmentation using hough transform and active contours. Telkomnika, 10: 531-536.
CrossRef  |  Direct Link  |  

Welfer, D., J. Scharcanski, C.M. Kitamura, M.M.D. Pizzol and L.W.B. Ludwig et al., 2010. Segmentation of the optic disk in color eye fundus images using an adaptive morphological approach. Comput. Biol. Med., 40: 124-137.
CrossRef  |  PubMed  |  Direct Link  |  

Yin, F., J. Liu, S.H. Ong, Y. Sun and D.W.K. Wong et al., 2011. Model-based optic nerve head segmentation on retinal fundus images. Proceedings of the 2011 Annual International Conference on IEEE Engineering in Medicine and Biology Society (EMBS’11), August 30-September 3, 2011, IEEE, Boston, Massachusetts, USA., ISBN:978-1-4244-4121-1, pp: 2626-2629.

Youssif, A.A.H.A.R., A.Z. Ghalwash and A.A.S.A.R. Ghoneim, 2007. Optic disc detection from normalized digital fundus images by means of a vessels direction matched filter. IEEE. Trans. Med. Imaging, 27: 11-18.
CrossRef  |  PubMed  |  Direct Link  |  

Zhang, D., Y. Yi, X. Shang and Y. Peng, 2012. Optic disc localization by projection with vessel distribution and appearance characteristics. Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012), November 11-15, 2012, IEEE, Tsukuba, Japan, pp: 3176-3179.

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