Summary
Capillaroscopy is one of the best medical diagnostic tools for early detection of scleroderma spectrum disorders. The diagnostic process is based on capillary (small blood vessel) study using a microscope. Key step in capillaroscopy diagnosis is extraction of capillaries. The paper presents a novel semi-automatic method of capillary vessel tracking, which is a non-directional graph creation method. Selection of neighboring vertexes location is its key component. It is performed by model identification. Four capillary model classes are proposed, all using data represented in polar coordinates.
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© 2009 Springer-Verlag Berlin Heidelberg
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Paradowski, M., Kwasnicka, H., Borysewicz, K. (2009). Capillary Blood Vessel Tracking Using Polar Coordinates Based Model Identification. In: Kurzynski, M., Wozniak, M. (eds) Computer Recognition Systems 3. Advances in Intelligent and Soft Computing, vol 57. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-93905-4_59
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DOI: https://doi.org/10.1007/978-3-540-93905-4_59
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-93904-7
Online ISBN: 978-3-540-93905-4
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