Sliding window and regression based cup detection in digital fundus images for glaucoma diagnosis

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6893 LNCS, Issue PART 3, 2011, Pages 1-8

  Xu, Yanwu ^a   Xu, Dong ^a   Lin, Stephen ^b   Liu, Jiang ^c   Cheng, Jun ^c   Cheung, Carol Y ^d   Aung, Tin ^d,e   Wong, Tien Yin ^d,e  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^b MICROSOFT RESEARCH ASIA   (China)

^c INSTITUTE FOR INFOCOMM RESEARCH   (Singapore)

^d SINGAPORE EYE RESEARCH INSTITUTE   (Singapore)

^e NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

COMMUNICATION CHANNELS (INFORMATION THEORY); DECODING; DIAGNOSIS; LEARNING SYSTEMS; MEDICAL COMPUTING; OPHTHALMOLOGY; RADIAL BASIS FUNCTION NETWORKS;

CUP TO DISC RATIOS; DIAGNOSIS SYSTEMS; DIAGNOSTIC MEASURES; DIGITAL FUNDUS IMAGES; FUNDUS PHOTOGRAPHS; NON-MAXIMAL SUPPRESSIONS; RADIAL BASIS FUNCTION(RBF); SUPPORT VECTOR REGRESSION (SVR);

MEDICAL IMAGING;

EID: 80053524664     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-23626-6_1     Document Type: Conference Paper

References (13)

1. Wong, T., Loon, S., Saw, S.: The epidemiology of age related eye diseases in asia. British Journal of Ophthalmology 90(4), 506-511 (2006)
2. Thylefors, B., Negrel, A.: The global impact of glaucoma. Bull. World Health Organ. 72(3), 323-326 (2006)
3. Michelson, G., Wärntges, S., Hornegger, J., Lausen, B.: The papilla as screening parameter for early diagnosis of glaucoma. Dtsch. Arztebl. Int. 105(34-35), 583-589 (2008)
4. Jonas, J., Budde, W., Panda-Jonas, S.: Ophthalmoscopic evaluation of the optic nerve head. Survey of Ophthalmology 43, 293-320 (1999)
5. Abramoff, M., Alward, W., Greenlee, E., Shuba, L., Kim, C., Fingert, J., Kwon, Y.: Automated segmentation of the optic disc from stereo color photographs using physiologically plausible features. Investigative Ophthalmology and Vis. Sci. 48(4), 1665-1673 (2007)
6. Liu, J., Wong, D., Lim, J., Li, H., Tan, N., Zhang, Z., Wong, T., Lavanya, R.: ARGALI: an automatic cup-to-disc ratio measurement system for glaucoma analysis using level-set image processing. In: Int. Conf. Biomed. Eng. (2008)
7. Li, C., Xu, C., Gui, C., Fox, M.: Level set evolution without re-initialization: A new variational formulation. In: IEEE Conf. Compt. Vis. Patt. Rec., pp. 430-436 (2005)
8. Merickel, M., Wu, X., Sonka, M., Abramoff, M.: Optimal segmentation of the optic nerve head from stereo retinal images. In: Medical Imaging: Physiology, Function, and Structure from Medical Images, vol. 6143 (2006)
9. Wong, D., Liu, J., Lim, J., Tan, N., Zhang, Z., Lu, S., Li, H., Teo, M., Chan, K., Wong, T.: Intelligent fusion of cup-to-disc ratio determination methods for glaucoma detection in ARGALI. In: Int. Conf. Engin. in Med. and Biol. Soc., pp. 5777-5780 (2009)
10. Zhang, Z., Yin, F., Liu, J., Wong, D., Tan, N., Lee, B., Cheng, J., Wong, T.: Origa-light: An online retinal fundus image database for glaucoma analysis and research. In: Int. Conf. IEEE Engin. in Med. and Biol. Soc., vol. 2010, pp. 3065-3068 (2010)
11. Jacob, L., Obozinski, G., Vert, J.P.: Group lasso with overlap and graph lasso. In: Int. Conf. Machine Learning. ACM, New York (2009)
12. Chang, C., Lin, C.: LIBSVM: a library for support vector machines. ACM Trans. on Intel. Sys. and Tech. 2(3), 27:1-27:27 (2011)
13. Deng, X., Du, G.: Liver tumor segmentation. In: 3D Segmentation in the Clinic: A Grand Challenge II Workshop at 10th MICCAI (2007)