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A Survey on Computer-Aided Detection Techniques of Prostate Cancer

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Progress in Advanced Computing and Intelligent Engineering

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 564))

Abstract

Prostate cancer (CaP) has become a second leading problem in Northern America, Europe, New Zealand as well as in India. A number of methods have been developed on classification, clustering, and probabilistic techniques for detection of CaP. This work details the conventional methods with their pros and cons deriving the basic gaps that need to be addressed in CaP detection and diagnosis. Paper also describes the comparison of different modalities used for CaP detection and quantitative evaluation of the present literature.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, UIET, Panjab University, Chandigarh, India

    Gaurav Garg & Mamta Juneja

Authors
  1. Gaurav Garg
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  2. Mamta Juneja
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Corresponding author

Correspondence to Gaurav Garg .

Editor information

Editors and Affiliations

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

    Khalid Saeed

  2. Dept. of Computer Science & Engg., University of Calcutta Dept. of Computer Science & Engg., Kolkata, West Bengal, India

    Nabendu Chaki

  3. C. V. Raman College of Engineering, Bhubaneswar, Odisha, India

    Bibudhendu Pati

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

    Sambit Bakshi

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

    Durga Prasad Mohapatra

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Garg, G., Juneja, M. (2018). A Survey on Computer-Aided Detection Techniques of Prostate Cancer. In: Saeed, K., Chaki, N., Pati, B., Bakshi, S., Mohapatra, D. (eds) Progress in Advanced Computing and Intelligent Engineering. Advances in Intelligent Systems and Computing, vol 564. Springer, Singapore. https://doi.org/10.1007/978-981-10-6875-1_12

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  • DOI: https://doi.org/10.1007/978-981-10-6875-1_12

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-6874-4

  • Online ISBN: 978-981-10-6875-1

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