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A Distributed Approach for Development of Deformable Model-Based Segmentation Methods

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Image Processing and Communications Challenges 5

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 233))

Summary

This paper presents a distributed solution for the development of deformable model-based medical image segmentation methods. The design and implementation stages of the segmentation methods usually require a lot of time and resources, since the variations of the tested algorithms have to be constantly evaluated on many different data sets. To address this problem, we extended our web platform for development of deformable model-based methods with an ability to distribute the computational workload. The solution was implemented on a computing cluster of multi-core nodes with the use of the Java Parallel Processing Framework. The experimental results show significant speedup of the computations, especially in the case of resource-demanding three-dimensional methods.

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Authors and Affiliations

  1. Faculty of Computer Science, Bialystok University of Technology, Bialystok, Poland

    Daniel Reska, Cezary Boldak & Marek Kretowski

Authors
  1. Daniel Reska
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  2. Cezary Boldak
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  3. Marek Kretowski
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Corresponding author

Correspondence to Daniel Reska .

Editor information

Editors and Affiliations

  1. Life Sciences, Institute of Telecommunications, University of Technology, ul.S.Kaliskiego 7, Bydgoszcz, 85791, Poland

    Ryszard S. Choras

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Reska, D., Boldak, C., Kretowski, M. (2014). A Distributed Approach for Development of Deformable Model-Based Segmentation Methods. In: S. Choras, R. (eds) Image Processing and Communications Challenges 5. Advances in Intelligent Systems and Computing, vol 233. Springer, Heidelberg. https://doi.org/10.1007/978-3-319-01622-1_3

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  • DOI: https://doi.org/10.1007/978-3-319-01622-1_3

  • Publisher Name: Springer, Heidelberg

  • Print ISBN: 978-3-319-01621-4

  • Online ISBN: 978-3-319-01622-1

  • eBook Packages: EngineeringEngineering (R0)

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