Learning-based approach for the automatic detection of the optic disc in digital retinal fundus photographs

2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10

Volumn , Issue , 2010, Pages 5355-5358

  Wong, D W K ^a   Liu, J ^a   Tan, N M ^a   Yin, F ^a   Lee, B H ^a   Wong, T Y ^b  

^a INSTITUTE FOR INFOCOMM RESEARCH   (Singapore)

^b NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC DETECTION; CLASSIFICATION MECHANISM; DATA SETS; FUNDUS IMAGE; FUNDUS PHOTOGRAPHS; GROUND TRUTH; IMAGE POINTS; IMAGE SETS; INTEROBSERVER VARIABILITY; LEARNING-BASED APPROACH; NEIGHBOURHOOD; OPTIC DISC;

PHOTOGRAPHY;

OPHTHALMOLOGY;

ALGORITHM; ARTICLE; AUTOMATION; COMPUTER ASSISTED DIAGNOSIS; EYE FUNDUS; HISTOLOGY; HUMAN; LEARNING; METHODOLOGY; OPTIC DISK; PHOTOGRAPHY;

ALGORITHMS; AUTOMATION; FUNDUS OCULI; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; LEARNING; OPTIC DISK; PHOTOGRAPHY;

EID: 78650824225     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2010.5626466     Document Type: Conference Paper

References (12)

1. R.R. Allingham, K.F. Damji, S. Freedman, S.E. Moroi, G. Shafranov, Shields' Textbook of Glaucoma, 5th Edition. Lippincott Williams & Wilkins, 2005.
2. N.M. Tan, J. Liu, D.W.K. Wong, Z. Zhang, S. Lu, J.H. Lim and H. Li, "Classification of left and right eye retinal images," Proc. SPIE, Vol. 7624, 762438, 2010.
3. A. Hoover, M. Goldbaum, "Locating the optic nerve in a retinal image using the fuzzy convergence of the blood vessels," IEEE Trans Med Imaging. 2003 Aug;22(8):951-8.
4. A.R. Youssif A.Z. Ghalwash, A.R. Ghoneim, "Optic disc detection from normalized digital fundus images by means of a vessels' direction matched filter," IEEE Trans Med Imaging. 2008 Jan;27(1):11-8.
5. M. Foracchia, E. Grisan, A. Ruggeri, "Detection of optic disc in retinal images by means of a geometrical model of vessel structure," IEEE Trans Med Imaging. 2004 Oct;23(10):1189-95.
6. R. Chrástek, M. Wolf, K. Donath, H. Niemann, D. Paulus, T. Hothorn, B. Lausen, R. Lämmer, C.Y. Mardin, G. Michelson G, "Automated segmentation of the optic nerve head for diagnosis of glaucoma," Med Image Anal. 2005 (4):297-314.
7. C.Muramatsu, T.Nakagawa, A.Sawada, Y.Hatanaka, T.Hara, T.Yamamoto, and H.Fujita, "Determination of cup and disc ratio of optical nerve head for diagnosis of glaucoma on stereo retinal fundus image pairs," Proc. of SPIE, 7260, 72603, 2009.
8. M.D. Abramoff, W.L.M. Alward, E.C. Greenlee, L. Shuba, C.Y. Kim, J.H. Fingert, Y.H. Kwon, "Automated Segmentation of the Optic Disc from Stereo Color Photographs Using Physiologically Plausible Features," Inves. Oph. Vis. Sci., 2007, 48, 1665-1673.
9. N. Inoue, K. Yanashima, K. Magatani, T. Kurihara, "Development of a simple diagnostic method for the glaucoma using ocular Fundus pictures," Conf Proc IEEE Eng Med Biol Soc. 2005;4:3355-8.
10. X. Zhu, R.M. Ranggayyan, "Detection of the optic disc in images of the retina using the Hough transform," Conf Proc IEEE Eng Med Biol Soc. 2008;2008:3546-9.
11. D.W.K. Wong, J. Liu, J.H. Lim, X. Jia, F. Yin, H. Li, T.Y. Wong, " Level-set based automatic cup-to-disc ratio determination using retinal fundus images in ARGALI," Conf Proc IEEE Eng Med Biol Soc. 2008;2008:2266-9
12. C.-C. Chang and C.-J. Lin, LIBSVM : a library for support vector machines, 2001.