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The Blood Vasculature of the Retina Using Routine Segmentation

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References

  • Y. Zhao, Y. Zheng, Y. Liu, J. Yang*, Y. Zhao, D. Chen, and Y. Wang, “Intensity and compactness enabled saliency estimation for leakage detection in diabetic and malarial retinopathy,” IEEE Trans. Med. Imaging, Vol. 36, no. 1, pp. 51–63, Jan. 2017. doi: 10.1109/TMI.2016.2593725
  • L. Seoud*, T. Hurtut, J. Chelbi, F. Cheriet, and J. M. Pierre Langlois, “Red lesion detection using dynamic shape features for diabetic retinopathy screening,” IEEE Trans. Med. Imaging, Vol. 35, no. 4, pp. 1116–26, Apr. 2016. doi: 10.1109/TMI.2015.2509785
  • K. Ram, G. D. Joshi, and J. Sivaswamy, “A successive clutter-rejection-based approach for early detection of diabetic retinopathy,” IEEE Trans. Biomed. Eng., Vol. 58, no. 3, pp. 1–9, Mar. 2011. doi: 10.1109/TBME.2010.2096223
  • C. R. Dhivyaa, K. Nithya, and M. Saranya, “Automatic detection of diabetic retinopathy from color fundus retinal images,” Int. J. Recent Innovation Trends Comput. Commun., Vol. 2, no. 3, pp. 533–6, Mar. 2014.
  • Y. Yang, S. Y. Huang, and N. Rao, “An automatic hybrid method for retinal blood vessel extraction,” J. Appl. Math. Comp. Sci, Vol. 18, pp. 399–407, 2008.
  • W. D. Zhang, J. C. Liu, and B. Wendall, “On the adaptive detection of blood vessels in retinal images,” IEEE Trans. Biomed. Eng., Vol. 53, no. 2, pp. 341–3, Jan. 2006. doi: 10.1109/TBME.2005.862571
  • J. J. StaalAbràmoff, M. Niemeijer, M. Viergever, and B. Van Ginneken, “Ridge based vessel segmentation in color images of the retina,” IEEE Trans. Med. Imaging, Vol. 23, no. 4, pp. 501–9, Apr. 2004. doi: 10.1109/TMI.2004.825627
  • F. Laliberté, L. Gagnon, and Y. Sheng, “Registration and fusion of retinal images: an evaluation study,” IEEE Trans. Med. Imaging, Vol. 22, no. 5, pp. 661–73, Jun. 2003. doi: 10.1109/TMI.2003.812263
  • C. Thitiporn, and G. L. Fan, “An efficient algorithm for extraction of anatomical structures in retinal images,” in Proceedings 2003 International Conference on Image Processing, 2003, pp. 1093–6.
  • W. Thomas, J. C. Klein, M. Pascale, and E. Ali, “A contribution of image processing to the diagnosis of diabetic retinopathy-detection of exudates in color fundus images of the human retina,” IEEE Trans. Med. Imaging, Vol. 21, no. 10, pp. 1236–43, Oct. 2002.
  • A. Pinz, S. Bernogger, P. Datlinger, and A. Kruger, “Mapping the human retina,” IEEE Trans. Med. Imaging, Vol. 17, no. 4, pp. 606–19, Aug. 1998. doi: 10.1109/42.730405
  • Z. Q. Liu, R. M. Rangayyan, and C. B. Frank, “Analysis of directional features in images using Gabor filters,” in 3rd Annual IEEE Symposium on Computer Based Medical Systems, USA, pp. 68–74, 1990.
  • J. G. Daugman, “Complete discrete 2-D Gabor transforms by neural networks for image analysis and compression,” IEEE Trans. Acoust. Speech Signal Process., Vol. 36, no. 7, pp. 1169–79, 1988. doi: 10.1109/29.1644
  • B. S. Manjunath, and W. Y. Ma, “Texture features for browsing and retrieval of image data,” IEEE Trans. Pattern Anal. Mach. Intell., Vol. 16, no. 6, pp. 817–22, 1996.
  • Z. Q. Liu, J. Cai, and R. Buse. Hand-writing recognition: Soft Computing and Probabilistic Approaches. Berlin: Springer Verlag, 2003.
  • T. S. Lee, “Image representation using 2D Gabor wavelets,” IEEE Trans. Pattern Anal. Mach. Intell., Vol. 18, pp. 959–71, 1996. doi: 10.1109/34.506415
  • J. Chen, Y. Sato, and S. Tamura, “Orientation space filtering for multiple orientation line segmentation,” IEEE Trans. Pattern Anal. Mach. Intell., Vol. 22, pp. 417–29, 2000. doi: 10.1109/34.857000
  • C. R. Dhivyaa, and M. Vijayakumar, “An effective detection mechanism for localizing macular region and grading maculopathy,” J. Med. Syst., Vol. 43, no. 3, pp. 43–53, Jan. 2019. doi: 10.1007/s10916-019-1163-2
  • L. He, A. Plaza, and Y. Li, “Discriminative low-rank gabor filtering for spectral–spatial hyperspectral image classification,” IEEE Trans. Geosci. Remote Sens., Vol. 55, no. 3, pp. 1381–95, Mar. 2017. doi: 10.1109/TGRS.2016.2623742
  • Y. Xiang, F. Wang, L. Wan, and H. You, “An advanced multiscale edge detector based on gabor filters for SAR imagery,” IEEE Geosci. Remote Sens. Lett., Vol. 14, no. 9, pp. 1522–6, Sep. 2017. doi: 10.1109/LGRS.2017.2720684
  • A. Spivak, A. Belenky, A. Fish, and O. Yadid-Pecht, “Analysis of gated CMOS image sensor for spatial filtering,” IEEE Trans. Electron Devices, Vol. 60, no. 1, pp. 305–13, Jan. 2013. doi: 10.1109/TED.2012.2226726
  • L. G. A. Mark, and C. Chein, “Target detection in multispectral images using the spectral co-occurrence matrix and entropy thresholding,” Opt. Eng., Vol. 34, no. 7, pp. 2135–48, 1995. doi: 10.1117/12.206579
  • M. Mokji, and A. Bakar, “Adaptive thresholding based on cooccurrence matrix edge information,” J. Comput. (Taipei), Vol. 2, no. 8, pp. 44–52, 2007.
  • G. Andria, M. L. Lanzolla, and M. Savino, “A suitable threshold for speckle reduction in ultrasound images,” IEEE Trans. Instrum. Meas., Vol. 62, no. 8, pp. 2270–9, Aug. 2013. doi: 10.1109/TIM.2013.2255978
  • Q. Li, B. Feng, L. Xie, P. Liang*, H. Zhang, and T. Wang, “A cross-modality learning approach for vessel segmentation in retinal images,” IEEE Trans. Med. Imaging, Vol. 35, no. 1, pp. 109–18, Jan. 2016. doi: 10.1109/TMI.2015.2457891
  • A. Hoover, V. Kouznetsoza, and M. Goldbaum, “Locating blood vessels in retinal images by piecewise threshold probing of a matched filter response,” IEEE Trans. Med. Imaging, Vol. 19, no. 3, pp. 203–10, Mar. 2000. doi: 10.1109/42.845178
  • C. Sinthanayothin, J. F. Boyce, H. L. Cook, and H. T. Williamson, “Automated location of the optic disc, fovea, and retinal blood vessels from digital color fundus images,” Br. J. Ophthalmol., Vol. 83, pp. 902–10, 1999. doi: 10.1136/bjo.83.8.902

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