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Echocardiogram Image Recognition Using Neural Networks

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Recent Advances on Hybrid Approaches for Designing Intelligent Systems

Part of the book series: Studies in Computational Intelligence ((SCI,volume 547))

Abstract

In this chapter we present a neural network architecture to recognize if the echocardiogram image corresponds to a person with a heart disease or is an image of a person with a normal heart, so that it can facilitate the medical diagnosis of the person that may hold an illness. One of the most used methods for the detection and analysis of diseases in the human body by doctors and specialists is the use of medical imaging. These images become one of the possible means to achieve a safe estimate of the severity of the injuries and thus to initiate treatment for the benefit of the patient.

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Acknowledgments

We would like to express our gratitude to CONACYT and Tijuana Institute of Technology for the facilities and resources granted for the development of this research.

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Authors and Affiliations

  1. Tijuana Institute of Technology, Calzada Tecnologico s/n, Tijuana, Mexico

    Beatriz González, Fevrier Valdez & Patricia Melin

  2. Excel Medical Center, Paseo de los Heroes No. 2507, Zona Rio, Tijuana, Mexico

    German Prado-Arechiga

Authors
  1. Beatriz González
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  2. Fevrier Valdez
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  3. Patricia Melin
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  4. German Prado-Arechiga
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Corresponding author

Correspondence to Patricia Melin .

Editor information

Editors and Affiliations

  1. Division of Graduate Studies and Research, Tijuana Institute of Technology, Tijuana, Mexico

    Oscar Castillo

  2. Division of Graduate Studies and Research, Tijuana Institute of Technology, Tijuana, Mexico

    Patricia Melin

  3. Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Alberta, Canada

    Witold Pedrycz

  4. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Janusz Kacprzyk

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González, B., Valdez, F., Melin, P., Prado-Arechiga, G. (2014). Echocardiogram Image Recognition Using Neural Networks. In: Castillo, O., Melin, P., Pedrycz, W., Kacprzyk, J. (eds) Recent Advances on Hybrid Approaches for Designing Intelligent Systems. Studies in Computational Intelligence, vol 547. Springer, Cham. https://doi.org/10.1007/978-3-319-05170-3_29

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  • DOI: https://doi.org/10.1007/978-3-319-05170-3_29

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-05169-7

  • Online ISBN: 978-3-319-05170-3

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