Segmentation and Detection of Vascular Bifurcations and Crossings in Retinal Images
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-319-98998-3_33
Reference11 articles.
1. Bhuiyan, A., Nath, B., Ramamohanarao, K.: Detection and classification of bifurcation and branch points on retinal vascular network. In: 2012 International Conference on Digital Image Computing Techniques and Applications, DICTA 2012 (2012). https://doi.org/10.1109/DICTA.2012.6411742
2. Lecture Notes in Computer Science;E Felipe-Riveron,2006
3. Jung, E., Hong, K.: Automatic retinal vasculature structure tracing and vascular landmark extraction from human eye image 2, 161–167, November 2006. https://doi.org/10.1109/ICHIT.2006.253606
4. Marin, D., Aquino, A., Gegundez-Arias, M.E., Bravo, J.M.: A new supervised method for blood vessel segmentation in retinal images by using gray-level and moment invariants-based features. IEEE Trans. Med. Imaging 30(1), 146–158 (2011). https://doi.org/10.1109/TMI.2010.2064333
5. Mehrotra, A., Tripathi, S., Singh, K.K., Khandelwal, P.: Blood vessel extraction for retinal images using morphological operator and KCN clustering. In: Souvenir of the 2014 IEEE International Advance Computing Conference, IACC 2014, pp. 1142–1146 (2014). https://doi.org/10.1109/IAdCC.2014.6779487
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