Author:
Saad Ghada,Suliman Ali,Bitar Luna,Bshara Shady
Abstract
Abstract
Background
Image processing technologies have been developed in the past two decades to help clinicians diagnose tumors using medical images. Computer-aided diagnosis systems (CADs) have proven their ability to increase clinicians' detection rate of positive cases by 10% and have become integrated with many medical imaging systems and technologies. The study aimed to develop a hybrid algorithm to help doctors detect brain tumors from magnetic resonance imaging images.
Results
We were able to reach a detection accuracy of 96.6% and design a computer application that allows the user to enter the image and identify the location of the tumor in it if it exists with many additional features.
Conclusions
This approach can be improved by using different segmentation techniques, extracting additional features, or using other classifiers.
Publisher
Springer Science and Business Media LLC
Subject
Radiology, Nuclear Medicine and imaging
Cited by
7 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献