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International Conference on Computational Collective Intelligence

ICCCI 2021: Computational Collective Intelligence pp 549–559Cite as

Ensemble of Convolution Neural Networks for Automatic Tuberculosis Classification

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12876))

Abstract

Tuberculosis (TB) is curable, and millions of deaths could be averted if diagnosed early. One of the sources of screening TB is through a chest X-ray. Still, its success depends on the interpretation of skilled and experienced radiologists, mostly lacking in high TB burden regions. However, with the intervention of a computer-aided detection system, TB can be automatically detected from chest X-rays. This paper presents an Ensemble model based on multiple pre-trained models to detect TB from chest X-rays automatically. The models were trained on the Shenzhen dataset and validated on the Montgomery dataset to achieve good generalization on a new (unseen) dataset. Improved classification accuracy was however achieved through the Ensemble model compared to the individual models. The proposed model indicates the strength of combining multiple models to improve model accuracy.

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Notes

  1. 1.

    https://lhncbc.nlm.nih.gov/publication/pub9931.

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Author information

Authors and Affiliations

  1. School of Mathematics, Statistics and Computer Science, University of KwaZulu-Natal, Durban, South Africa

    Mustapha Oloko-Oba & Serestina Viriri

Authors
  1. Mustapha Oloko-Oba
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  2. Serestina Viriri
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Corresponding author

Correspondence to Serestina Viriri .

Editor information

Editors and Affiliations

  1. Wrocław University of Science and Technology, Wrocław, Poland

    Ngoc Thanh Nguyen

  2. Democritus University of Thrace, Kimmeria, Xanthi, Greece

    Lazaros Iliadis

  3. University of Piraeus, Piraeus, Greece

    Ilias Maglogiannis

  4. Wrocław University of Science and Technology, Wrocław, Poland

    Bogdan Trawiński

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Oloko-Oba, M., Viriri, S. (2021). Ensemble of Convolution Neural Networks for Automatic Tuberculosis Classification. In: Nguyen, N.T., Iliadis, L., Maglogiannis, I., Trawiński, B. (eds) Computational Collective Intelligence. ICCCI 2021. Lecture Notes in Computer Science(), vol 12876. Springer, Cham. https://doi.org/10.1007/978-3-030-88081-1_41

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  • DOI: https://doi.org/10.1007/978-3-030-88081-1_41

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-88080-4

  • Online ISBN: 978-3-030-88081-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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