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Ultrasound-elastic-image-assisted diagnosis of pulmonary nodules based on genetic algorithm

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Abstract

In the process of ultrasound elastic image detection of pulmonary nodules, due to various factors, the detection process of nodules will produce less sensitive and higher false positives, which will affect the detection accuracy of nodules. In order to improve the ultrasound-assisted diagnosis of pulmonary nodules, this study based on genetic algorithm and combined with fish-following algorithm image recognition technology to construct an improved algorithm based on genetic algorithm. In addition, this study combs and improves the algorithm through process design and sets up the simulation environment for algorithm simulation research. Finally, in order to verify the performance of the algorithm, the ultrasound image of the pulmonary nodule is analyzed by an example to obtain the processed recognition image. From the point of view of identification, the algorithm proposed in this study has certain clinical effects and can provide theoretical reference for subsequent related research.

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Authors and Affiliations

  1. Department of Emergency, The Third Hospital of Jilin University, Changchun City, 130033, People’s Republic of China

    Yujie Dong & Yan Li

  2. Department of Infectious Diseases, Children’s Hospital of Changchun City, Changchun City, 130000, People’s Republic of China

    Hua Jing

  3. Department of Anesthesiology, The Third Hospital of Jilin University, Changchun City, 130033, People’s Republic of China

    Wei Feng

Authors
  1. Yujie Dong
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  2. Hua Jing
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  3. Yan Li
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  4. Wei Feng
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Correspondence to Wei Feng.

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Dong, Y., Jing, H., Li, Y. et al. Ultrasound-elastic-image-assisted diagnosis of pulmonary nodules based on genetic algorithm. Neural Comput & Applic 32, 18305–18314 (2020). https://doi.org/10.1007/s00521-020-04956-x

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  • DOI: https://doi.org/10.1007/s00521-020-04956-x

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