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Lung Disease Classification Using Shape-Based Feature Extraction Technique

Author

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  • C Bhuvaneswari
  • P Aruna
  • D Loganathan

Abstract

Lung diseases are one of the major health issues worldwide. The common causes of lung diseases are smoking, radon gas, air pollution, etc. This paper presents lung disease classification using shape-based feature extraction technique. The diseases such as emphysema, pleural effusion and normal lung diseases are considered for the study. Preprocessing is done using median filter. Feature extraction is done using moment invariants method, and the features extracted are assigned to appropriate class using classifiers such as Naive Bayes, J48, and Bayes Net. The results indicate that the J48 classifier is more accurate than the other classifiers.

Suggested Citation

  • C Bhuvaneswari & P Aruna & D Loganathan, 2014. "Lung Disease Classification Using Shape-Based Feature Extraction Technique," The IUP Journal of Computer Sciences, IUP Publications, vol. 0(2), pages 41-48, April.
    • Handle: RePEc:icf:icfjcs:v:8:y:2014:i:2:p:41-48
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