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Lung Nodule Segmentation Based on Convolutional Neural Networks Using Multi-orientation and Patchwise Mechanisms

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VipIMAGE 2019 (VipIMAGE 2019)

Part of the book series: Lecture Notes in Computational Vision and Biomechanics ((LNCVB,volume 34))

Abstract

Image segmentation is used in several knowledge domains, such as medicine, biology, remote sensing, industrial automation, surveillance and security. More specifically, image segmentation plays a crucial role in various medical imaging applications, as an important part of clinical diagnosis. Deep learning techniques have recently benefited medical image segmentation and classification tasks. In this work, we have explored the use of Convolutional Neural Networks (CNN) for lung nodule segmentation using multi-orientation and patchwise mechanisms. Experiments conducted on the public LIDC-IRI dataset demonstrate that our results were able to reduce the number of false negatives, which is important in this task. High segmentation rates were achieved when compared to medical specialists.

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Acknowledgements

The authors are thankful to CNPq (grants #300047/2019-3 and #305169/2015-7) and São Paulo Research Foundation (grant FAPESP #2014/12236-1) for their financial support, as well for the NVidia GPU Grant Program for a Titan Xp donation.

Author information

Authors and Affiliations

  1. Tridimensional Technology Division, Center for Information Technology Renato Archer, Campinas, SP, 13069-901, Brazil

    Paulo H. J. Amorim, Thiago F. de Moraes & Jorge V. L. da Silva

  2. Institute of Computing, University of Campinas, Campinas, SP, 13083-852, Brazil

    Helio Pedrini

Authors
  1. Paulo H. J. Amorim
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  2. Thiago F. de Moraes
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  3. Jorge V. L. da Silva
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  4. Helio Pedrini
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Corresponding author

Correspondence to Helio Pedrini .

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Editors and Affiliations

  1. Faculdade de Engenharia, Universidade do Porto, Porto, Portugal

    João Manuel R. S. Tavares

  2. Faculdade de Engenharia, Universidade do Porto, Porto, Portugal

    Renato Manuel Natal Jorge

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Amorim, P.H.J., de Moraes, T.F., da Silva, J.V.L., Pedrini, H. (2019). Lung Nodule Segmentation Based on Convolutional Neural Networks Using Multi-orientation and Patchwise Mechanisms. In: Tavares, J., Natal Jorge, R. (eds) VipIMAGE 2019. VipIMAGE 2019. Lecture Notes in Computational Vision and Biomechanics, vol 34. Springer, Cham. https://doi.org/10.1007/978-3-030-32040-9_30

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