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

Authors

  • Dr. P. Kalyani  Professor, CSE Department, Vemu Institute of Technology, P. Kothakota, Chitoor District, Andhra Pradesh, India
  • Dr. D. Murali  Professor, CSE Department, Vemu Institute of Technology, P. Kothakota, Chitoor District, Andhra Pradesh, India
  • T. Munireddy  Research Scholar, ECE Department, SSSUTMS, Bhopal, Andhra Pradesh, India

Keywords:

MRI images, Brain tumor, Segmentation, Random Forest Decision Tree.

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.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2018-07-30

Issue

Volume 3, Issue 6, July-August-2018

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Dr. P. Kalyani, Dr. D. Murali, T. Munireddy, " Identifying the Brain Tumors and Classified Using a New Approach with The Support of Random Forest Decision Tree, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 6, pp.270-273, July-August-2018.