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

Authors(3) :-Dr. P. Kalyani, Dr. D. Murali, T. Munireddy

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.

Authors and Affiliations

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

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

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Publication Details

Published in : Volume 3 | Issue 6 | July-August 2018
Date of Publication : 2018-07-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 270-273
Manuscript Number : CSEIT183667
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

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", International 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. |          | BibTeX | RIS | CSV

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