8 Segmentation of Optic Disc and Cup-to-Disc Ratio Quantification …
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23. M.S. Miri, K. Lee, M. Niemeijer, M.D. Abràmoff, Y.H. Kwon, M.K. Garvin, Multimodal
segmentation of optic disc and cup from stereo fundus and SD-OCT images. In: Proceedings
of SPIE Medical Imaging 86690O (2013)
24. M. Wu, T. Leng, L. de Sisternes, D.L. Rubin, Q. Chen, Automated segmentation of optic disc
in SD-OCT images and cup-to-disc ratios quantification by patch searching-based neural canal
opening detection. Opt. Expr. 23(24), 31216–31229 (2015)
25. Q. Chen, T. Leng, L. Zheng, L. Kutzscher, J. Ma, L. de Sisternes, D.L. Rubin, Automated drusen
segmentation and quantification in SD-OCT images. Med. Image Anal. 17(8), 1058–1072
(2013)
26. M. Gargesha, M.W. Jenkins, A.M. Rollins, D.L. Wilson, Denoising and 4D visualization of
OCT images. Opt. Expr. 16(16), 12313–12333 (2008)
27. C. Tomasi, R. Manduchi, Bilateral filtering for gray and color images. In: Proceedings of IEEE
Conference on Computer Vision, pp. 839–846. IEEE, Piscataway (1998)
28. Q. Chen, W. Fan, S. Niu, J. Shi, H. Shen, S. Yuan, Automated choroid segmentation based on
gradual intensity distance in HD-OCT images. Opt. Expr. 23(7), 8974–8994 (2015)
29. K. Li, X. Wu, D.Z. Chen, M. Sonka, Optimal surface segmentation in volumetric images—a
graph-theoretic approach. IEEE T. Pattern Anal. 28(1), 119–134 (2006)
30. M.K. Garvin, M.D. Abràmoff, X. Wu, S.R. Russell, T.L. Burns, M. Sonka, Automated 3D intraretinal layer segmentation of macular spectral-domain optical coherence tomography
images. IEEE T. Med. Imaging 28(9), 1436–1447 (2009)
31. X. Chen, J.K. Udupa, U. Bagci, Y. Zhuge, J. Yao, Medical image segmentation by combining
graph cuts and oriented active appearance models. IEEE T. Image Process. 21(4), 2035–2046
(2012)
32. C. Cortes, V. Vapnik, Support-vector networks. Mach. Learn. 20(3), 273–297 (1995)
33. T. Ojala, M. Pietikäinen, T. Mäenpää, Multiresolution gray-scale and rotation invariant texture
classification with local binary patterns. IEEE T. Pattern Anal. 24(7), 971–987 (2002)
34. T. Ojala, M. Pietikäinen, T. Mäenpää, A generalized Local Binary Pattern operator for multiresolution gray scale and rotation invariant texture classification. In: Proceedings of International
Conference on Advances in Pattern Recognition, pp. 397–406. IEEE, Piscataway (2001)
35. N. Dalal, B. Triggs, Histograms of oriented gradients for human detection. In: proceedings of
IEEE Conference on Computer Vision and Pattern Recognition, pp. 886–893. IEEE, Piscataway
(2005)
36. J. Zhang, K. Huang, Y. Yu, T. Tan, Boosted local structured hog-lbp for object localization. In:
proceedings of IEEE Conference on Computer Vision and Pattern Recognition, pp. 1393–1400.
IEEE, Piscataway (2011)
37. G.J. Jaffe, J. Caprioli, Optical coherence tomography to detect and manage retinal disease and
glaucoma. Am. J. Ophthalmol. 137(1), 156–169 (2004)
209
22. H. Fu, D. Xu, S. Lin, D. Wong, J. Liu, Automatic optic disc detection in OCT slices via low-rank
reconstruction. IEEE T. Bio. Eng. 62(4), 1151–1158 (2015)
23. M.S. Miri, K. Lee, M. Niemeijer, M.D. Abràmoff, Y.H. Kwon, M.K. Garvin, Multimodal
segmentation of optic disc and cup from stereo fundus and SD-OCT images. In: Proceedings
of SPIE Medical Imaging 86690O (2013)
24. M. Wu, T. Leng, L. de Sisternes, D.L. Rubin, Q. Chen, Automated segmentation of optic disc
in SD-OCT images and cup-to-disc ratios quantification by patch searching-based neural canal
opening detection. Opt. Expr. 23(24), 31216–31229 (2015)
25. Q. Chen, T. Leng, L. Zheng, L. Kutzscher, J. Ma, L. de Sisternes, D.L. Rubin, Automated drusen
segmentation and quantification in SD-OCT images. Med. Image Anal. 17(8), 1058–1072
(2013)
26. M. Gargesha, M.W. Jenkins, A.M. Rollins, D.L. Wilson, Denoising and 4D visualization of
OCT images. Opt. Expr. 16(16), 12313–12333 (2008)
27. C. Tomasi, R. Manduchi, Bilateral filtering for gray and color images. In: Proceedings of IEEE
Conference on Computer Vision, pp. 839–846. IEEE, Piscataway (1998)
28. Q. Chen, W. Fan, S. Niu, J. Shi, H. Shen, S. Yuan, Automated choroid segmentation based on
gradual intensity distance in HD-OCT images. Opt. Expr. 23(7), 8974–8994 (2015)
29. K. Li, X. Wu, D.Z. Chen, M. Sonka, Optimal surface segmentation in volumetric images—a
graph-theoretic approach. IEEE T. Pattern Anal. 28(1), 119–134 (2006)
30. M.K. Garvin, M.D. Abràmoff, X. Wu, S.R. Russell, T.L. Burns, M. Sonka, Automated 3D intraretinal layer segmentation of macular spectral-domain optical coherence tomography
images. IEEE T. Med. Imaging 28(9), 1436–1447 (2009)
31. X. Chen, J.K. Udupa, U. Bagci, Y. Zhuge, J. Yao, Medical image segmentation by combining
graph cuts and oriented active appearance models. IEEE T. Image Process. 21(4), 2035–2046
(2012)
32. C. Cortes, V. Vapnik, Support-vector networks. Mach. Learn. 20(3), 273–297 (1995)
33. T. Ojala, M. Pietikäinen, T. Mäenpää, Multiresolution gray-scale and rotation invariant texture
classification with local binary patterns. IEEE T. Pattern Anal. 24(7), 971–987 (2002)
34. T. Ojala, M. Pietikäinen, T. Mäenpää, A generalized Local Binary Pattern operator for multiresolution gray scale and rotation invariant texture classification. In: Proceedings of International
Conference on Advances in Pattern Recognition, pp. 397–406. IEEE, Piscataway (2001)
35. N. Dalal, B. Triggs, Histograms of oriented gradients for human detection. In: proceedings of
IEEE Conference on Computer Vision and Pattern Recognition, pp. 886–893. IEEE, Piscataway
(2005)
36. J. Zhang, K. Huang, Y. Yu, T. Tan, Boosted local structured hog-lbp for object localization. In:
proceedings of IEEE Conference on Computer Vision and Pattern Recognition, pp. 1393–1400.
IEEE, Piscataway (2011)
37. G.J. Jaffe, J. Caprioli, Optical coherence tomography to detect and manage retinal disease and
glaucoma. Am. J. Ophthalmol. 137(1), 156–169 (2004)
