Detection and Classification of Intracranial Brain Hemorrhage

Computer

-aided diagnosis systems (CAD), as their name suggests, utilize computers to assist doctors to obtain a quick and correct diagnosis. They focused on several scholars as they are built upon the concept of processing and examining pictures of various parts of the individual body meant for a fast and correct outcome. CAD systems are generally area specific because they are augmented for some certain kinds of infections, various parts of the individual body, diagnosis methods, etc. They analyze dissimilar types of inputs given, for example, signs, test center, result, health pictures, etc. varying on their territory. One of the maximum common kind of diagnosis depends on medical pictures. Our approach is to develop a model to identify either a brain hemorrhage is present or not in Computed Topography (CT) scan of the brain and also identify the kind of hemorrhage. The process of detecting and identifying hemorrhage contains many steps like image pre-processing, segmentation of image, extracting the features, and classifying the images.