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Generalized Weighted Majority Voting with an Application to Algorithms Having Spatial Output

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Part of the Lecture Notes in Computer Science book series (LNAI,volume 7209)

Abstract

In this paper we propose a method using a generalization of the weighted majority voting scheme to locate the optic disc (OD) in retinal images automatically. The location with the maximal sum of the weights of OD center candidates falling into a disc of radius predefined in the clinical protocol is chosen for optic disc. We have worked out a weighted voting scheme, where besides the weights, an additional (e.g. geometrical) condition has to be taken into account in making the final decision. We can achieve better overall performance with this generalized weighted voting system than with the weighted majority voting and each individual algorithm.

Keywords

  • Biomedical imaging
  • diabetic retinopathy
  • classifier combination
  • majority voting
  • weighted voting

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References

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© 2012 Springer-Verlag Berlin Heidelberg

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Toman, H., Kovacs, L., Jonas, A., Hajdu, L., Hajdu, A. (2012). Generalized Weighted Majority Voting with an Application to Algorithms Having Spatial Output. In: Corchado, E., Snášel, V., Abraham, A., Woźniak, M., Graña, M., Cho, SB. (eds) Hybrid Artificial Intelligent Systems. HAIS 2012. Lecture Notes in Computer Science(), vol 7209. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28931-6_6

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  • DOI: https://doi.org/10.1007/978-3-642-28931-6_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28930-9

  • Online ISBN: 978-3-642-28931-6

  • eBook Packages: Computer ScienceComputer Science (R0)