A Novel Approach for the Detection of Different Brain Tumor Techniques

Authors

  • B. Sainaz  M.Tech Student, Department of ECE, Sri Venkateswara University College of Engineering, Tirupati, Andhra Pradesh, India
  • Dr. G. Sreenivasulu  Professor, Department of ECE, Sri Venkateswara University College of Engineering, Tirupati, Andhra Pradesh, India

Keywords:

Brain Tumor Techniques, SVM classifier, glioblastoma, astrocytomas, CSF, CGVIS

Abstract

Now a days brain tumor detection plays very imporatnt and crucial role in the field of digital image processing . in recent years different techniques introduced in order to detect this brain tumor .the techniques used in the recent years are like k-means,fuzzy c-means,watershed segmentation etc.but these techniques detect the area of the tumor but cannot prdict the exact area of the tumor.to overcome these drawbacks ,here we proposed a paper based on these techniques and also calssification done based on SVM classifier i.e; support vector machine classifier which is used to classify the features of the tumor and aslo we can detect the exact area of the tumor which saves the time .experimental results proves that this method gives better performance than the other state of art methods

References

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Published

2018-01-30

Issue

Section

Research Articles

How to Cite

[1]
B. Sainaz, Dr. G. Sreenivasulu, " A Novel Approach for the Detection of Different Brain Tumor Techniques , International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 4, Issue 1, pp.1231-1235, January-February-2018.