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21. M. Haeker, M. Sonka, R. Kardon, V.A. Shah, X. Wu, M.D. Abràmoff, Automated segmentation
of intraretinal layers from macular optical coherence tomography images, in Proceddings of
SPIE, vol. 6512 (2007), p. 651214
22. Z. Hu, X. Wu, Y. Ouyang, Y. Ouyang, S.R. Sadda, Semiautomated segmentation of the choroid
in spectral-domain optical coherence tomography volume scans. Invest. Ophthalmol. Vis. Sci.
54(3), 1722–1729 (2013)
23. H. Lu, N. Boonarpha, M.T. Kwong, Y. Zheng, Automated segmentation of the choroid in
retinal optical coherence tomography images, in 35th Annual International Conference of the
Engineering in Medicine and Biology Society (EMBC) (IEEE, 2013), pp. 5869–5872
24. V. Kaji´ c, M. Esmaeelpour, B. Považay, D. Marshall, P.L. Rosin, W. Drexler, Automated
choroidal segmentation of 1060 nm OCT in healthy and pathologic eyes using a statistical
model. Biomed. Opt. Express 3(1), 86–103 (2012)
25. H. Danesh, R. Kafieh, H. Rabbani, F. Hajizadeh, Segmentation of choroidal boundary in
enhanced depth imaging OCTs using a multiresolution texture based modeling in graph cuts
(Comput. Math, Methods Med, 2014)
26. K.K. Vupparaboina, S. Nizampatnam, J. Chhablani, A. Richhariya, S. Jana, Automated estimation of choroidal thickness distribution and volume based on OCT images of posterior visual
section. Comput. Med. Imaging Graph. 46, 315–327 (2015)
27. N. Srinath, A. Patil, V.K. Kumar, S. Jana, J. Chhablani, A. Richhariya, Automated detection
of choroid boundary and vessels in optical coherence tomography images, in 36th Annual
International Conference of the Engineering in Medicine and Biology Society (EMBC) (IEEE,
2014), pp. 166–169
28. https://imagej.nih.gov/ij/
29. K. Dabov, A. Foi, V. Katkovnik, K. Egiazarian, Image denoising by sparse 3-D transformdomain collaborative filtering. IEEE Trans. Image Process. 16(8), 2080–2095 (2007)
30. R.C. Gonzalez, Digital Image Processing (Pearson Education India, 2009)
31. Z. Wang, A.C. Bovik, H.R. Sheikh, E.P. Simoncelli, Image quality assessment: from error
visibility to structural similarity. IEEE Trans. Image Process. 13(4), 600–612 (2004)
32. Y. Sato, S. Nakajima, N. Shiraga, H. Atsumi, S. Yoshida, T. Koller et al., Three-dimensional
multi-scale line filter for segmentation and visualization of curvilinear structures in medical
images. Med. Image Anal. 2(2), 143–168 (1998)
33. J. Chen, A. Amini et al., Quantifying 3-D vascular structures in MRA images using hybrid
PDE and geometric deformable models. IEEE Trans. Med. Imaging 23(10), 1251–1262 (2004)
34. A.F. Frangi, W.J. Niessen, K.L. Vincken, M.A. Viergever, Multiscale vessel enhancement filtering, in Medical Image Computing and Computer-Assisted Interventation (MICCAI) (Springer;
1998), pp. 130–137
35. G. Medioni, C.K. Tang, M.S. Lee. Tensor voting: theory and applications, in Proceedings of
RFIA (Paris, France. 2000), p. 3
36. G. Medioni, S.B. Kang. Emerging Topics in Computer Vision (Prentice Hall PTR, 2004)
37. L. Sörnmo, P. Laguna. Bioelectrical Signal Processing in Cardiac and Neurological Applications (Academic Press, 2005)
38. J. Tian, P. Marziliano, M. Baskaran, T.A. Tun, T. Aung, Automatic segmentation of the choroid
in enhanced depth imaging optical coherence tomography images. Biomed. Opt. Express 4(3),
397–411 (2013)
39. http://vision.middlebury.edu/stereo/
40. http://www.physionet.org/physiobank/database/#ecg
41. R.F. Spaide, H. Koizumi, M.C. Pozonni, Enhanced depth imaging spectral-domain optical
coherence tomography. Am. J. Ophthalmol. 146(4), 496–500 (2008)
42. S.W. Kim, J. Oh, S.S. Kwon, J. Yoo, K. Huh, Comparison of choroidal thickness among
patients with healthy eyes, early age-related maculopathy, neovascular age-related macular
degeneration, central serous chorioretinopathy, and polypoidal choroidal vasculopathy. Retina
31(9), 1904–1911 (2011)
43. S. Sonoda, T. Sakamoto, T. Yamashita, E. Uchino, H. Kawano, N. Yoshihara et al., Luminal and
stromal areas of choroid determined by binarization method of optical coherence tomographic
images. Am. J. Ophthalmol. 159(6), 1123–1131 (2015)
K. K. Vupparaboina et al.
21. M. Haeker, M. Sonka, R. Kardon, V.A. Shah, X. Wu, M.D. Abràmoff, Automated segmentation
of intraretinal layers from macular optical coherence tomography images, in Proceddings of
SPIE, vol. 6512 (2007), p. 651214
22. Z. Hu, X. Wu, Y. Ouyang, Y. Ouyang, S.R. Sadda, Semiautomated segmentation of the choroid
in spectral-domain optical coherence tomography volume scans. Invest. Ophthalmol. Vis. Sci.
54(3), 1722–1729 (2013)
23. H. Lu, N. Boonarpha, M.T. Kwong, Y. Zheng, Automated segmentation of the choroid in
retinal optical coherence tomography images, in 35th Annual International Conference of the
Engineering in Medicine and Biology Society (EMBC) (IEEE, 2013), pp. 5869–5872
24. V. Kaji´ c, M. Esmaeelpour, B. Považay, D. Marshall, P.L. Rosin, W. Drexler, Automated
choroidal segmentation of 1060 nm OCT in healthy and pathologic eyes using a statistical
model. Biomed. Opt. Express 3(1), 86–103 (2012)
25. H. Danesh, R. Kafieh, H. Rabbani, F. Hajizadeh, Segmentation of choroidal boundary in
enhanced depth imaging OCTs using a multiresolution texture based modeling in graph cuts
(Comput. Math, Methods Med, 2014)
26. K.K. Vupparaboina, S. Nizampatnam, J. Chhablani, A. Richhariya, S. Jana, Automated estimation of choroidal thickness distribution and volume based on OCT images of posterior visual
section. Comput. Med. Imaging Graph. 46, 315–327 (2015)
27. N. Srinath, A. Patil, V.K. Kumar, S. Jana, J. Chhablani, A. Richhariya, Automated detection
of choroid boundary and vessels in optical coherence tomography images, in 36th Annual
International Conference of the Engineering in Medicine and Biology Society (EMBC) (IEEE,
2014), pp. 166–169
28. https://imagej.nih.gov/ij/
29. K. Dabov, A. Foi, V. Katkovnik, K. Egiazarian, Image denoising by sparse 3-D transformdomain collaborative filtering. IEEE Trans. Image Process. 16(8), 2080–2095 (2007)
30. R.C. Gonzalez, Digital Image Processing (Pearson Education India, 2009)
31. Z. Wang, A.C. Bovik, H.R. Sheikh, E.P. Simoncelli, Image quality assessment: from error
visibility to structural similarity. IEEE Trans. Image Process. 13(4), 600–612 (2004)
32. Y. Sato, S. Nakajima, N. Shiraga, H. Atsumi, S. Yoshida, T. Koller et al., Three-dimensional
multi-scale line filter for segmentation and visualization of curvilinear structures in medical
images. Med. Image Anal. 2(2), 143–168 (1998)
33. J. Chen, A. Amini et al., Quantifying 3-D vascular structures in MRA images using hybrid
PDE and geometric deformable models. IEEE Trans. Med. Imaging 23(10), 1251–1262 (2004)
34. A.F. Frangi, W.J. Niessen, K.L. Vincken, M.A. Viergever, Multiscale vessel enhancement filtering, in Medical Image Computing and Computer-Assisted Interventation (MICCAI) (Springer;
1998), pp. 130–137
35. G. Medioni, C.K. Tang, M.S. Lee. Tensor voting: theory and applications, in Proceedings of
RFIA (Paris, France. 2000), p. 3
36. G. Medioni, S.B. Kang. Emerging Topics in Computer Vision (Prentice Hall PTR, 2004)
37. L. Sörnmo, P. Laguna. Bioelectrical Signal Processing in Cardiac and Neurological Applications (Academic Press, 2005)
38. J. Tian, P. Marziliano, M. Baskaran, T.A. Tun, T. Aung, Automatic segmentation of the choroid
in enhanced depth imaging optical coherence tomography images. Biomed. Opt. Express 4(3),
397–411 (2013)
39. http://vision.middlebury.edu/stereo/
40. http://www.physionet.org/physiobank/database/#ecg
41. R.F. Spaide, H. Koizumi, M.C. Pozonni, Enhanced depth imaging spectral-domain optical
coherence tomography. Am. J. Ophthalmol. 146(4), 496–500 (2008)
42. S.W. Kim, J. Oh, S.S. Kwon, J. Yoo, K. Huh, Comparison of choroidal thickness among
patients with healthy eyes, early age-related maculopathy, neovascular age-related macular
degeneration, central serous chorioretinopathy, and polypoidal choroidal vasculopathy. Retina
31(9), 1904–1911 (2011)
43. S. Sonoda, T. Sakamoto, T. Yamashita, E. Uchino, H. Kawano, N. Yoshihara et al., Luminal and
stromal areas of choroid determined by binarization method of optical coherence tomographic
images. Am. J. Ophthalmol. 159(6), 1123–1131 (2015)