Diagnosis of Brain Diseases Using Magnetic Resonance Imaging and Artificial Neural Networks

Abstract

The aim of this study is to develop a novel method to diagnosis brain diseases by using Magnetic Resonance imaging and Artificial Neural Network (ANN). These brain diseases are tumor, meningitis and seizure. A suspected metabolic brain disease presents a difficult challenge to the physician and the patient. This proposed method helps to reduce diagnosis complexity and faults arising from subjective evaluations of physicians or unclear data. The test results demonstrate that the proposed method is promising.