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Patch-Based Feature Extraction Algorithm for Mammographic Cancer Images

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Progress in Advanced Computing and Intelligent Engineering

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 713))

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Abstract

The study of mammography aims at identifying the presence of cancerous or non-cancerous tissue by using signs of bilateral asymmetry, masses, calcification and architectural distortion. The most vigilant one among them is the architectural distortion owing to speculated or random patterns. In this paper, a novel method for pectoral muscle removal and annotation removal is explained. A patch-based algorithm is implemented to extract textural features, and according to the features, a neural classifier has been classified into benign or malignant. The method was experimented on 88 images from MIAS database, and the proposed method has a total efficiency of 92.04% with respect to pectoral muscle and annotation removal.

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Author information

Authors and Affiliations

  1. Department of Electronics & Instrumentation Engineering, R.V. College of Engineering, Bengaluru, 560059, India

    P. M. Rajasree & Anand Jatti

Authors
  1. P. M. Rajasree
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  2. Anand Jatti
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Corresponding author

Correspondence to P. M. Rajasree .

Editor information

Editors and Affiliations

  1. Department of Computer Science, Rama Devi Women's University, Bhubaneswar, Odisha, India

    Bibudhendu Pati

  2. Department of Computer Science, Rama Devi Women's University, Bhubaneswar, Odisha, India

    Chhabi Rani Panigrahi

  3. Department of Computer Science and Engineering, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, India

    Sudip Misra

  4. Department of Computer Science, Central University of Rajasthan, Jaipur, Rajasthan, India

    Arun K. Pujari

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

    Sambit Bakshi

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© 2019 Springer Nature Singapore Pte Ltd.

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Rajasree, P.M., Jatti, A. (2019). Patch-Based Feature Extraction Algorithm for Mammographic Cancer Images. In: Pati, B., Panigrahi, C., Misra, S., Pujari, A., Bakshi, S. (eds) Progress in Advanced Computing and Intelligent Engineering. Advances in Intelligent Systems and Computing, vol 713. Springer, Singapore. https://doi.org/10.1007/978-981-13-1708-8_1

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  • DOI: https://doi.org/10.1007/978-981-13-1708-8_1

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-1707-1

  • Online ISBN: 978-981-13-1708-8

  • eBook Packages: EngineeringEngineering (R0)

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