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Identifying the Brain Tumors and Classified Using a New Approach with The Support of Random Forest Decision Tree

Author

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  • P. Kalyani
  • D. Murali
  • T. Munireddy

Abstract

Now-a-days, most of the people suffered from Brain tumor. In the whole nervous system, human brain is the one of the most important organ. By these brain tumors most of the people lost their life. There are extra-ordinary cells inside the brain leads to brain tumors. The brain tumors are of different like malignant tumors or cancerous tumors and benign tumors. In this proposed, a technique is used consists of preprocessing, segmentation, Feature extraction and Classification. Here, we are segments the tumors and detects and classified the tumors based on improved RFDT approach. The main thing we focus to investigate the tumors in early stages which help for the health practitioners.

Suggested Citation

  • P. Kalyani & D. Murali & T. Munireddy, 2018. "Identifying the Brain Tumors and Classified Using a New Approach with The Support of Random Forest Decision Tree," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 3(6), pages 270-273, July.
    • Handle: RePEc:jbh:ijsrcs:v3:y2018:i6:id:hcseit183667
    Note: Article URL: https://ijsrcseit.com/CSEIT183667
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