Neural Network: An Incipient Technology for MRI Brain Image Classification

MRI-based medical image investigation for brain stem studies is ahead attention in topical times due to an amplified need for proficient and objective valuation of large amounts of data. While the original approaches applying mechanized methods for the analysis of brain stem images date back almost two decades, the current methods are becoming more mature and coming closer to routine clinical application. Early diagnosis of Parkinson's disease (PD) is of immense importance, since clinical symptoms do not occur until substantial parts of the substantianigra(SN) neurons in the brain stem have been irreparably damaged. Furthermore, large parts of the population are affected by this disease and although PD is currently regarded as incurable, the symptoms can be alleviated by the administration of drugs. This assessment aims to provide a inclusive overview by giving a succinct introduction to brain stem and imaging of brain Stem first. Then, we review the state of the art in segmentation. The qualities of different approaches are discussed with a focus on methods that can be applied on standard clinical imaging protocols.