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Hybrid Intelligent System for Lung Cancer Type Identification

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Informatics and Communication Technologies for Societal Development

Abstract

Lung cancer is one of the deadly and most common diseases in the world. Most of the current research works are based only on classifying the nodules (tissue mass in the lungs) as cancerous or noncancerous (NC). In this work, a hybrid intelligent lung cancer identification system is proposed to identify the two general types of lung cancers such as small cell lung cancer (SCLC) and nonsmall cell lung cancer (NSCLC) using computed tomography (CT) images. The proposed system followed two approaches to extract the features from CT images and to identify the type using self-organizing map (SOM) and fuzzy logic concepts. The system is analyzed using 86 images. The first and second approach has resulted in 50.11 % and 97.22 % of accuracy, respectively.

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Author information

Authors and Affiliations

  1. Department of Electrical and Computer Engineering, Addis Ababa Institute of Technology, Addis Ababa University, Addis Ababa, Ethiopia

    Yenatfanta Shifferaw

  2. Department of Computer Science and Engineering, Karunya University, Coimbatore, TN, India

    Kumudha Raimond

Authors
  1. Yenatfanta Shifferaw
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  2. Kumudha Raimond
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Corresponding author

Correspondence to Yenatfanta Shifferaw .

Editor information

Editors and Affiliations

  1. School of Computer Science and Technolog, Karunya University, Coimbatore, Tamil Nadu, India

    Elijah Blessing Rajsingh

  2. School of Computing, National University of Singapore, Singapore, Singapore

    Anand Bhojan

  3. Department of Information Technology, Karunya University, Coimbatore, Tamil Nadu, India

    J. Dinesh Peter

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© 2015 Springer India

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Shifferaw, Y., Raimond, K. (2015). Hybrid Intelligent System for Lung Cancer Type Identification. In: Rajsingh, E., Bhojan, A., Peter, J. (eds) Informatics and Communication Technologies for Societal Development. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1916-3_5

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  • DOI: https://doi.org/10.1007/978-81-322-1916-3_5

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-1915-6

  • Online ISBN: 978-81-322-1916-3

  • eBook Packages: EngineeringEngineering (R0)

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