Detection and feature extraction of CT lung tumor using cad system

 
 
 
  • Abstract
  • Keywords
  • References
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  • Abstract


    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.

     

     

     

  • Keywords


    Lung; Feature Extraction; Detection; Pulmonary Embolism.

  • References


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Article ID: 16568
 
DOI: 10.14419/ijet.v7i2.25.16568




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