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Soft Computing for Problem Solving pp 585–596Cite as

Lung Nodule Segmentation Using 3-Dimensional Convolutional Neural Networks

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1048))

Abstract

Lung cancer is one of the most deadly diseases in the world today, the annual number of deaths more than the next three cancers combined. Even with our advancement in medical science, the problem still persists. It can be addressed effectively at earlier stages, but most cases are detected at stages 3 or 4, where it is too late to be addressed properly. The objective of this paper is to design an effective Computer Aided Diagnosis (CAD) system which can segment of the CT scan of the lung, and help radiologists identify and diagnose this issue at an early stage. A novel 3-dimensional CNN is used to segment the nodules present in the CT scan, which will help classify the nodules with better accuracy. Various optimizations have been carried out to ensure that the convergence is quick and fast, while yielding the best possible accuracy. The proposed architecture achieves a Dice coefficient of 0.9615, on the LUNA16 dataset.

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Authors and Affiliations

  1. Birla Institute of Technology and Science Pilani, Pilani, India

    Subham Kumar & Sundaresan Raman

Authors
  1. Subham Kumar
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  2. Sundaresan Raman
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Corresponding author

Correspondence to Subham Kumar .

Editor information

Editors and Affiliations

  1. Department of Mathematics, National Institute of Technology Silchar, Silchar, Assam, India

    Kedar Nath Das

  2. Department of Mathematics, South Asian University, New Delhi, Delhi, India

    Jagdish Chand Bansal

  3. Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

    Kusum Deep

  4. Department of Mathematics, Faculty of Science, Liverpool Hope University, Liverpool, UK

    Atulya K. Nagar

  5. School of Electrical Engineering, VIT University, Vellore, Tamil Nadu, India

    Ponnambalam Pathipooranam

  6. School of Electrical Engineering, VIT University, Vellore, Tamil Nadu, India

    Rani Chinnappa Naidu

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Kumar, S., Raman, S. (2020). Lung Nodule Segmentation Using 3-Dimensional Convolutional Neural Networks. In: Das, K., Bansal, J., Deep, K., Nagar, A., Pathipooranam, P., Naidu, R. (eds) Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 1048. Springer, Singapore. https://doi.org/10.1007/978-981-15-0035-0_48

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