[1] [1] D. Huang et al., "Optical coherence tomography," Science 254(5035), 1178–1181 (1991).

[2] [2] S. H. Yun et al., "High-speed spectral-domain optical coherence tomography at 1.3
m wavelength," Opt. Express 11(26), 3598–3604 (2003).

[3] [3] R. N. Weinreb, L. Zangwill, "Reproducibility of nerve fiber layer thickness measurements using 3D Fourier-domain OCT," Ophthalmology 104(10), 1530–1531 (1997).

[4] [4] S. Alam, R. J. Zawadzki, S. Choi et al., "Clinical application of rapid serial Fourier-domain optical coherence tomography for macular imaging," Ophthalmology 113(8), 1425–1431 (2006).

[5] [5] W. Maciej et al., "Three-dimensional retinal imaging with high-speed ultrahigh-resolution optical coherence tomography," Ophthalmology 112(10), 1734–1746 (2005).

[6] [6] E. Garcia-Martin, M. Satue, I. Fuertes et al., "Ability and reproducibility of Fourier-domain optical coherence tomography to detect retinal nerve fiber layer atrophy in Parkinson's disease," Ophthalmology 119(10), 2161–2167 (2012).

[7] [7] Divya, Aggarwal, Ou, "Patterns of ganglion cell complex and nerve fiber layer loss in nonarteritic ischemic optic neuropathy by Fourier-domain optical coherence tomography," Investig. Opthalmol. Vis. Sci. 53(8), 4539 (2012).

[8] [8] O. Tan, V. Chopra, T. H. Lu et al., "Detection of macular ganglion cell loss in glaucoma by Fourierdomain optical coherence tomography," Ophthalmology 116(12), 2305–2314.e2 (2009).

[9] [9] T. Qaum, Q. Xu, A. M. Joussen et al., "VEGFinitiated blood-retinal barrier breakdown in early diabetes," Investig. Ophthalmol. Vis. Sci. 42(10), 2408 (2001).

[10] [10] D. Koozekanani, K. Boyer, C. Roberts, "Retinal thickness measurements from optical coherence tomography using a Markov boundary model," IEEE Trans. Med. Imaging 20(9), 900 (2001).

[11] [11] X. Zhang, S. Yousefi, L. An et al., "Automated segmentation of intramacular layers in Fourier domain optical coherence tomography structural images from normal subjects," J. Biomed. Optics 17(4), 046011 (2012).

[12] [12] Y. Wang, T. Li, "Image de-noising using wavelet transform and various filters," Int. J. Re. Computer Sci. 2(2), 1–7 (2012).

[13] [13] A. Sakamoto, M. Hangai, N. Yoshimura, "Spectraldomain optical coherence tomography with multiple B-scan averaging for enhanced imaging of retinal diseases," Ophthalmology 115(6), 1071–1078.e7 (2008).

[14] [14] T. Fabritius, S. Makita, M. Miura et al., "Automated segmentation of the macula by optical coherence tomography," Opt. Express 17(18), 15659–15669.

[15] [15] F. D. Cabrera, H. M. Salinas, C. A. Puliafito, "Automated detection of retinal layer structures on optical coherence tomography images," Opt. Express 13(25), 10200 (2005).

[16] [16] H. Ishikawa, D. M. Stein, G. Wollstein et al., "Macular segmentation with optical coherence tomography," Investig. Ophthalmol. Vis. Sci. 46(6), 2012–2017 (2005).

[17] [17] A. Mishra, A. Wong, K. Bizheva et al., "Intra-retinal layer segmentation in optical coherence tomography images," Optics Express 17(26), 23719–23728 (2009).

[18] [18] C. Ahlers, C. Simader, W. Geitzenauer et al., "Automatic segmentation in three-dimensional analysis of fibrovascular pigment epithelial detachment using high-definition optical coherence tomography," Br. J. Ophthalmol. 92(2), 197 (2008).

[19] [19] Y. Zhao, Y. Ma, J. Liu et al., "Phase unwrapping for Doppler Spectral Domain OCT flow measurement," J. Biophotonics 13(1) (2019).

[20] [20] S. J. Chiu, X. T. Li, P. Nicholas et al., "Automatic segmentation of seven retinal layers in SDOCT images congruent with expert manual segmentation," Opt. Express 18(18), 19413–19428.

[21] [21] S. Lu, Y. L. Cheung, J. Liu et al., "Automated layer segmentation of optical coherence tomography images," IEEE Trans. Biomed. Eng. 57(10), P.2605–P.2608 (2010).

[22] [22] J. Tian, B. Varga, G. M. Somfai et al., "Real-time automatic segmentation of optical coherence tomography volume data of the macular region," Plos One 10(8), e0133908 (2015).

[23] [23] Z. Mishra, A. Ganegoda, J. Selicha et al., "Automated retinal layer segmentation using graphbased algorithm incorporating deep-learningderived information," Sci. Rep. 10, 9541 (2020).

[24] [24] K. Gopinath, S. B. Rangrej, J. Sivaswamy, "A deep learning framework for segmentation of retinal layers from OCT images," 2017 4th IAPR Asian Conference on Pattern Recognition (ACPR), Nanjing, 2017, pp. 888–893.

[25] [25] C. K. Leung et al., "Evaluation of retinal nerve fiber layer progression in glaucoma: A study on optical coherence tomography guided progression analysis," Invest. Ophthalmol. Vis. Sci. 51(1), 217–222 (2010).

[26] [26] L. H. Lima et al., "Structural assessment of hyper auto fluorescent ring in patients with retinitis pigmentosa," Retina 29(7), 1025–1031 (2009).