Developing a hybrid algorithm to detect brain tumors from MRI images
- Resource Type
- Original Paper
- Authors
- Saad, Ghada; Suliman, Ali; Bitar, Luna; Bshara, Shady
- Source
- Egyptian Journal of Radiology and Nuclear Medicine. 54(1)
- Subject
- MRI
CAD
GLCM
SVM
KNN
Otsu’s method
- Language
- English
- ISSN
- 2090-4762
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.