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Decrease in False Assumption for Detection Using Digital Mammography

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Computational Intelligence in Data Mining—Volume 2

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 411))

Abstract

Our research work elaborated in the design and construction of a method that bring sustenance for a reduction in false assumptions during the detection of breast cancer. Our key drive of this research work was to elude the false assumptions in the detection practice in a cost effective manner. We proposed a unique method to decrease false assumption in breast cancer detection cases and split this method in three different modules as preprocessing, formation of homogeneous blocks and color quantization. The preprocessing convoluted in eradicating the extraneous slices. The formation homogeneous blocks sub-method was to do segmentation of the image. The task of the third sub-method (i.e. color quantization) was to break the colors amid different regions.

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Author information

Authors and Affiliations

  1. School of Information Technology and Engineering, VIT University, Vellore, India

    Chiranji Lal Chowdhary & Gudavalli Vijaya Krishna Sai

  2. School of Computing Science and Engineering, VIT University, Vellore, India

    D. P. Acharjya

Authors
  1. Chiranji Lal Chowdhary
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  2. Gudavalli Vijaya Krishna Sai
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  3. D. P. Acharjya
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Corresponding author

Correspondence to Chiranji Lal Chowdhary .

Editor information

Editors and Affiliations

  1. Department of Computer Science Engineering and Information Technology, Veer Surendra Sai University of Technology, Sambalpur, Odisha, India

    Himansu Sekhar Behera

  2. Department of Computer Science and Engineering, National Institute of Technology, Rourkela, India

    Durga Prasad Mohapatra

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© 2016 Springer India

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Chowdhary, C.L., Sai, G.V.K., Acharjya, D.P. (2016). Decrease in False Assumption for Detection Using Digital Mammography. In: Behera, H., Mohapatra, D. (eds) Computational Intelligence in Data Mining—Volume 2. Advances in Intelligent Systems and Computing, vol 411. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2731-1_30

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  • DOI: https://doi.org/10.1007/978-81-322-2731-1_30

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-2729-8

  • Online ISBN: 978-81-322-2731-1

  • eBook Packages: EngineeringEngineering (R0)

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