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A Review on Lung and Nodule Segmentation Techniques

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Advances in Data and Information Sciences

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 94))

Abstract

Computer Aided Diagnosis (CAD) systems for automatic detection of pulmonary diseases and lung cancer mainly depend on the segmentation of different pulmonary components like right and left lung lobes, airways, vessels, and nodules from the medical imaging modalities like CTs, MRIs, etc. Lung segmentation and nodule segmentation are the important steps to detect any lung related abnormalities. It requires many image processing operations to be performed on the medical images. Computed Tomography (CT) imaging is the most preferred modal because of its popularity, ease of use, and capability of showing different anatomical structures of thorax region. This review paper includes a study of various state of the art techniques explaining the methods applied on CT scans to find the ROIs along with their segmentation accuracies parameters in terms of similarity coefficient, mean error, and overlap ratio.

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Authors and Affiliations

  1. Department of Information Technology, National Institute of Technology, Raipur (C.G), India

    Bhawana Kamble, Satya Prakash Sahu & Rajesh Doriya

Authors
  1. Bhawana Kamble
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  2. Satya Prakash Sahu
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  3. Rajesh Doriya
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Corresponding author

Correspondence to Bhawana Kamble .

Editor information

Editors and Affiliations

  1. Smart Grid and Renewable Energy, University of Agder, Kristiansand, Norway

    Mohan L. Kolhe

  2. Department of Computer Science and Engineering, ABES Engineering College, Ghaziabad, Uttar Pradesh, India

    Shailesh Tiwari

  3. Department of Computer Science and Engineering, NIT Agartala, Tripura, India

    Munesh C. Trivedi

  4. Computer Science and Engineering, Motilal Nehru National Institute of Technology Allahabad, Prayagraj, India

    Krishn K. Mishra

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Kamble, B., Sahu, S.P., Doriya, R. (2020). A Review on Lung and Nodule Segmentation Techniques. In: Kolhe, M., Tiwari, S., Trivedi, M., Mishra, K. (eds) Advances in Data and Information Sciences. Lecture Notes in Networks and Systems, vol 94. Springer, Singapore. https://doi.org/10.1007/978-981-15-0694-9_52

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  • DOI: https://doi.org/10.1007/978-981-15-0694-9_52

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-0693-2

  • Online ISBN: 978-981-15-0694-9

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