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An Overview of Pectoral Muscle Extraction Algorithms Applied to Digital Mammograms

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Medical Imaging in Clinical Applications

Part of the book series: Studies in Computational Intelligence ((SCI,volume 651))

Abstract

Substantial numbers of patients are reaching to a progressive breast cancer stage due to increase in the false negatives coming out of cumbersome and tedious job of continuously observing the mammograms in fatigue. Hence, the early detection of cancer with more accuracy is highly expected to reduce the death rate. Computer Aided Detection (CADe) can help radiologists in providing a second opinion increasing the overall accuracy of detection. Pectoral muscle is a predominant density area in most mammograms and may bias the results. Its extraction can increase accuracy and efficiency of cancer detection. This work is intended to provide the researchers a systematic and comprehensive overview of different techniques of pectoral muscle extraction which are categorized into groups based on intensity, region, gradient, transform, probability and polynomial, active contour, graph theory, and soft computing approaches. The performance of all these methods is summarized in tabular form for comparison purpose. The accuracy, efficiency and computational complexities of some selected methods are discussed in view of deciding a best approach in each of the categories.

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Acknowledgments

The authors are thankful to Dr. L.M. Waghmare, Director, SGGS IE&T, Nanded and Dr. M.B. Kokare, Coordinator, Center of Excellence in Signal and Image Processing, for their constant encouragement, great support and 24 × 7 open access to state of the art laboratory facilities. Authors are thankful to Dr. Ravindra C. Thool for his constant encouragement. Authors are really very grateful to the referees for their valuable suggestions and comments.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, SGGS IE&T, Nanded, India

    Suhas Sapate

  2. Department of Electronics and Telecommunications, SGGS IE&T, Nanded, India

    Sanjay Talbar

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  1. Suhas Sapate
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  2. Sanjay Talbar
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Correspondence to Suhas Sapate .

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Editors and Affiliations

  1. Techno India College of Technology, Durgapur, West Bengal, India

    Nilanjan Dey

  2. Professional Colleges (SRMGPC), Shri Ramswaroop Memorial Group of, Lucknow, Uttar Pradesh, India

    Vikrant Bhateja

  3. Faculty of Computers & Information, Cairo University, Giza, Egypt

    Aboul Ella Hassanien

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Sapate, S., Talbar, S. (2016). An Overview of Pectoral Muscle Extraction Algorithms Applied to Digital Mammograms. In: Dey, N., Bhateja, V., Hassanien, A. (eds) Medical Imaging in Clinical Applications. Studies in Computational Intelligence, vol 651. Springer, Cham. https://doi.org/10.1007/978-3-319-33793-7_2

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  • DOI: https://doi.org/10.1007/978-3-319-33793-7_2

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