Abstract
Retinal vessel extraction has become an important task of medical image processing applications in order to diagnose ocular diseases. In this paper, a novel methodology is proposed to extract vessels automatically from retinal angiographies. The proposed methodology has been implemented by means of Cellular Neural Networks techniques to take advantage of their capabilities of massively parallel processing reducing computation time required.
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Alonso-Montes, C., Vilariño, D.L., Penedo, M.G. (2005). On the Automatic 2D Retinal Vessel Extraction. In: Singh, S., Singh, M., Apte, C., Perner, P. (eds) Pattern Recognition and Image Analysis. ICAPR 2005. Lecture Notes in Computer Science, vol 3687. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11552499_19
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DOI: https://doi.org/10.1007/11552499_19
Publisher Name: Springer, Berlin, Heidelberg
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