Detection of Brain Tumor MRI Image Using Probabilistic Neural Network and Image Segmentation
Brain Tumor, MRI, Probabilistic Neural Network, GLCM, Segmentation
The brain is the interior part of the central nervous system. Brain tumor is an unbalanced growth caused by cells reproducing themselves in an uncontrolled way. The seriousness of brain tumor is very high among all types of cancers because of space for me inside the skull. So, immediate detection and proper treatment can save a person’s life. In this paper a system for brain tumor extraction is designed. It uses the MRI Scanned Images at input. In the pre-processing stage, noise is removed and the texture features are extracted from it with the help of Gray level co-occurrence matrix (GLCM). Then with the help of the obtained features classification of images into normal and abnormalised one uses Probabilistic Neural Network (PNN) classifier. Then using segmentation technique and morphological operations tumorous part is located from abnormal image. The accuracy of the proposed system is 86.2% & it is evaluated in terms of confusion matrix.
Article Details
Unique Paper ID: 146822

Publication Volume & Issue: Volume 5, Issue 2

Page(s): 1 - 6
Article Preview & Download

Go To Issue

Call For Paper

Volume 7 Issue 1

Last Date 25 June 2020

About Us enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on

Social Media

Google Verified Reviews

Contact Details

Telephone:+91 820 061 5067