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Sensors and Image Processing pp 85–92Cite as

Computer-Aided Detection of Breast Cancer Using Pseudo Zernike Moment as Texture Descriptors

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 651))

Abstract

The breast cancer is a prominent cause of decease in women worldwide. The early detection of breast cancer may avoid the causing symptoms to spread beyond the breast which can significantly reduce the decease rates. In this paper, we develop a computer-aided diagnosis (CAD) system to detect and classify the abnormalities. The input region of interest (ROI) is manually extracted and subjected to further several preprocessing steps. The pseudo zernike moment (PZM) is used for feature extraction as a texture descriptors. A support vector machine is implemented to classify the extracted features accordingly. The proposed system accomplished overall accuracy of 93.63% with 92.14% sensitivity and 94.14% specificity. The area under the curve (AUC) is found to be 0.974.

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Author information

Authors and Affiliations

  1. Department of Electrical Engineering, School of Engineering, Gautam Buddha University, Greater Noida, 201310, India

    Shabana Urooj & Satya P. Singh

  2. Electrical Engineering Department, Jamia Millia Islamia (A Central University), New Delhi, 110025, India

    A. Q. Ansari

Authors
  1. Shabana Urooj
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  2. Satya P. Singh
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  3. A. Q. Ansari
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Corresponding author

Correspondence to Satya P. Singh .

Editor information

Editors and Affiliations

  1. Gautam Buddha University, Greater Noida, Uttar Pradesh, India

    Shabana Urooj

  2. Department of Electrical and Instrumentation Engineering, Thapar University, Patiala, Punjab, India

    Jitendra Virmani

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Urooj, S., Singh, S.P., Ansari, A.Q. (2018). Computer-Aided Detection of Breast Cancer Using Pseudo Zernike Moment as Texture Descriptors. In: Urooj, S., Virmani, J. (eds) Sensors and Image Processing. Advances in Intelligent Systems and Computing, vol 651. Springer, Singapore. https://doi.org/10.1007/978-981-10-6614-6_9

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  • DOI: https://doi.org/10.1007/978-981-10-6614-6_9

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-6613-9

  • Online ISBN: 978-981-10-6614-6

  • eBook Packages: EngineeringEngineering (R0)

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