Optic disk detection using feature clustering and classification in retinal fundus images

Journal of Medical Imaging and Health Informatics

Volumn 1, Issue 1, 2011, Pages 56-60

  Dessauer, Michael P ^a   Dua, Sumeet ^a  

^a Louisiana Tech University   (United States)

Author keywords

Clinical decision support; Machine learning; Multi scale clustering

Indexed keywords

EID: 84881141708     PISSN: 21567018     EISSN: 21567026     Source Type: Journal    
DOI: 10.1166/jmihi.2011.1009     Document Type: Article

References (10)

1. M. Foracchia, E. Grisan, and A. Ruggeri, Detection of optic disk in retinal images by means of a geometrical model of vessel structure. IEEE Transactions in Medical Imaging 23, 1189 (2004).
2. S. Ravishankar, A. Jain, and A. Mittal, Automated feature extraction for early detection of diabetic retinopathy in fundus images. IEEE Computer Vision and Pattern Recognition 1, 210 (2009).
3. M. Abràmoff and M. Suttorp, Web-based screening for diabetic retinopathy in a primary care population: The eye check project. Telemedicine e-Health. 11-6, 668 (2005).
4. M. Lalonde, M. Beaulieu, and L. Gagnon, Fast and robust optic disc detection using pyramidal decomposition and Hausdorff-based template matching. IEEE Transactions in Medical Imaging 20-11, 1193 (2001).
5. A. Hoover and M. Goldbaum, Locating the optic nerve in a retinal image using the fuzzy convergence of the blood vessels. IEEE Transactions in Medical Imaging 22-8, 951 (2003).
6. M. Niemeijer, M. D. Abramoff, and B. v. Ginneken, Segmentation of the optic disc, macula and vascular arch in fundus photographs. IEEE Transactions in Medical Imaging 26-1, 116 (2007).
7. T. Spencer, J. A. Olson, K. C. McHardy, P. F. Sharp, and J. V. Forrester, An image-rocessing strategy for the segmentation and quantification of microaneurysms in fluorescein angiograms of the ocular fundus. Computers and Biomedical Research 29, 284 (1996).
8. C. Sinthanayothin, J. F. Boyce, H. L. Cook, and T. H. Williamson, Automated localisation of the optic disc, fovea, and retinal blood vessels from digital colour fundus images. The British Journal of Ophthalmology 83, 902 (1999).
9. E. Sharon, M. Galun, D. Sharon, R. Basri, and A. Brandt, Hierarchy and adaptivity in segmenting visual scenes. Nature 442, 810 (2006).
10. M. K. Hu, Visual Pattern recognition by moment invariants. IEEE Transactions on Information Theory 8, 179 (1962).