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Within the framework of Tishreen University's endeavor to improve its scientific rank globally and within the framework of scientific publishing

 D.M. Ghada Saad, Head of the Department of Medical Engineering, in partnership with Prof. Dr. Ali Suleiman, Eng. Luna Bitar and Eng. Shady Bishara from the Department of Medical Engineering - Faculty of Mechanical and Electrical Engineering - at Tishreen University, published a scientific research entitled

Developing a hybrid algorithm to detect brain tumors from MRI images

The research has been published in the international scientific journal, the Egyptian Journal of Radiology and Nuclear Medicine, which is affiliated with the Springer Nature publishing house and is indexed within the Scopus database of international journals from the Elsevier Foundation.

The following is a summary of the research:

Computer-assisted diagnostic (CAD) systems have proven their ability to increase the rate of detection of positive cases by doctors by 10% more than when they were not used, and these systems have become integrated into many medical imaging systems and technologies, and scientists are constantly striving to develop diagnostic systems (CAD ) and increase its effectiveness in detecting cancerous tumors.

The study aimed to develop a hybrid algorithm to help doctors detect brain tumors from magnetic resonance images, based on an image database consisting of 150 images, and then design a standalone application that performs the detection process automatically through several processing operations on the database images. By extracting the characteristics and training three different classifiers and merging their results together, 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 is present, with many additional features.