Abstract
This paper describes an automatic plaque boundary extraction in the intravascular ultrasound image by a fuzzy inference. In the proposed method, the membership functions in the antecedent parts of the fuzzy rules are adaptively allocated by using the information of the seed points given by a medical doctor. The present method not only improved the accuracy of plaque boundary extraction but also reduced the workload of medical doctors.
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Uchino, E. et al. (2009). Automatic Plaque Boundary Extraction in Intravascular Ultrasound Image by Fuzzy Inference with Adaptively Allocated Membership Functions. In: Köppen, M., Kasabov, N., Coghill, G. (eds) Advances in Neuro-Information Processing. ICONIP 2008. Lecture Notes in Computer Science, vol 5507. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03040-6_71
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DOI: https://doi.org/10.1007/978-3-642-03040-6_71
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-03039-0
Online ISBN: 978-3-642-03040-6
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