Analysing Morphological Features Of Corpus Callosum To Identify Neural Disorder Based On Contour And Mass Using Back Propagation Neural Network

Abstract

In this paper we focus on development of automated image analysis techniques for precisely measuring regions of corpus callosum based on contour and mass. We divided our work into two modules: (i) develop a framework to measure various regions of the corpus callosum area (ii) develop a methodology to analyze corpus callosum based on contour and mass to classify various subjects using machine learning techniques. This application was developed using Visual C++ and Mat lab.