I}mplementation of Classification System for Brain Cancer Using Artificial Neural Network and {MRI

Prof. Dilip Kumar Gandhi; Kaustubh S. Sagale; Prof. Sandip Nemade

Brain Cancer is genetic and vital disease. Human analysis on medical images is a difficult task due to very minute variations. This paper presents extension in Computer Aided Diagnosis for early prediction of Brain Cancer Class using texture features and neuro classification logic. The work involves extraction of texture features from the given brain MRI sample using discrete wavelet transform and morphological operation followed by neuro- classification. Astrocytoma type of Brain Cancer is only considered for the study. Database is constructed from the case studies available on the internet. This paper is the extension of our previous paper based on locating tumor and extracting features from Brain Cancer affected MRI.

Select Volume / Issues:

• Volume 3 Issue 5, Sept. 2012

Year:

2012

Type of Publication:

Article

Keywords:

Brain Cancer; MRI; Segmentation; Gray Level Co-occurrence Matrix; Artificial Neural Network

Journal:

IJECCE

Volume:

3

Number:

5

Pages:

1145-1148

Month:

Sept.