Detection and feature extraction of CT lung tumor using cad system

  • Authors

    • A Josephin Arockia Dhivya
    • R J. Hemalatha
    • T R. Thamizhvani
    • Josline Elsa Joseph
    • Bincy Babu
    • R Chandrasekaran
    2018-05-03
    https://doi.org/10.14419/ijet.v7i2.25.16568
  • Lung, Feature Extraction, Detection, Pulmonary Embolism.

  • A 64 slice computed tomography is used for treating pulmonary related embolism diseases.Pulmonary embolism is a condition which causes death for all age group people.In a decade analyzing, computed tomography technique is regarded as the minimally painful technique.In this condition basically there are five steps involved in it.The first step involved is segmenting the lung sec-tion.The second step briefly delivers about PE extraction using a mask of high intensity.The third step involves in extracting the features in the image.The fourth step is reducing the features using artificial neural networks.The fifth step involves a multi fea-ture system having k as its neighbor,which is helpful for classifying positive and negative differentiation.There are few other methods to improve the performance.:They use tobogganing algorithm and they use the method of grouping and it attained the sensitivity of 80%Other scoring methods are achieved and performance has been enhanced.It also improves CAD performance.

     

     

     

  • References

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  • How to Cite

    Josephin Arockia Dhivya, A., J. Hemalatha, R., R. Thamizhvani, T., Elsa Joseph, J., Babu, B., & Chandrasekaran, R. (2018). Detection and feature extraction of CT lung tumor using cad system. International Journal of Engineering & Technology, 7(3), 100-104. https://doi.org/10.14419/ijet.v7i2.25.16568