Brain Tumor Segmentation using Pattern Neural Network with MRI Images

Author(s):

Jibi Belghese , Marian Engineering College Kazhakuttom; Sheeja Agustin, Marian Engineering College

Keywords:

Image segmentation, Brain tumor, Gliomas, Pattern neural network, MRI images

Abstract:

Image segmentation is the method widely applied in images for diagnosing kind of diseases in medical field. In which pixels are grouped together that have similar attributes. In this paper segmentation has an important role for segmenting brain tumor. Uncontrolled growth of cells in brain is called brain tumor. Gliomas are the brain tumor which has high mortality rate. Magnetic resonance imaging(MRI) is used to get informations about the tumor level accurately. This paper depicts the Pattern neural network (PNN) for tumor segmentation. It is a feedforward network PNN uses small kernals to avoid overfitting. The work of this segmentation method provide very good result in terms of time consumption and accuracy over soft tissue in brain with the help of MRI images.

Other Details:

Manuscript Id	:	IJSTEV3I9118
Published in	:	Volume : 3, Issue : 9
Publication Date	:	01/04/2017
Page(s)	:	641-644

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