Computer aided diagnosis system for automatic detection of brain tumor through magnetic resonance image

Abstract

Computer Aided Diagnosis system has been developed for Automatic Detection of newlineBrain Tumor through MRI.Improving the ability to identify early-stage tumors is an newlineimportant goal for physicians, because early detection of lung cancer is a key factor in newlineproducing successful treatments. Computer-aided diagnosis (CAD) involves the use of newlinecomputers to bring suspicious areas on a medical image to a radiologist s attention. CAD for newlinecancer detection in medical images starts with a digital image. The computer scans and newlinemarks suspicious are looking areas in the image. Radiologists can then focus on those areas newlineand decide if a biopsy or further evaluation is needed. newlineComputer-Aided Diagnosis (CAD) and automated prescreening by computer are two newlineways to potentially counter many of the problems that would result from screening a large newlinenumber of human for brain tumor using MRI. Even if there is no large-scale screening newlineprogram, computerized brain image analysis could perhaps be used to improve the quality of newlineconventional brain tumor analysis. In a CAD scenario, computerized image analysis is used newlineto suggest possible affected tumor regions in the image so that the radiologist can then newlineexamine these regions more carefully. Additionally, image-processing operations such as newlinecontrast enhancement and edge detection can be applied to the image at the request of the newlinehuman reader before a decision is made. The automated prompting and the additional newlineinformation provided by computerized image analysis should also result in grater newlinerepeatability and uniformity in the standard care. It should also result in some increase in newlinesensitivity for a given level of specificity; i.e., more tumors detected the same biopsy rate. newline