International Journal of Advances in Applied Sciences (IJAAS) Vol. 10, No. 1, March 2021, pp. 88~98 ISSN: 2252-8814, DOI: 10.11591/ijaas.v10.i1.pp88-98  88 Journal homepage: http://ijaas.iaescore.com Deep learning model for glioma, meningioma and pituitary classification Toqa A. Sadoon, Mohammed H. Ali Department of Electronic and Communications Engineering, College of Engineering, Al-Nahrain University, Baghdad, Iraq Article Info ABSTRACT Article history: Received Sep 15, 2020 Revised Dec 23, 2020 Accepted Jan 13, 2021 One of the common causes of death is a brain tumor. Because of the above mentioned, early detection of a brain tumor is critical for faster treatment, and therefore there are many techniques used to visualize a brain tumor. One of these techniques is magnetic resonance imaging (MRI). On the other hand, machine learning, deep learning, and convolutional neural network (CNN) are the state of art technologies in the recent years used in solving many medical image-related problems such as classification. In this research, three types of brain tumors were classified using magnetic resonance imaging namely glioma, meningioma, and pituitary gland on the based of CNN. The dataset used in this work includes 233 patients for a total of 3,064 contrast-enhanced T1 images. In this paper, a comparison is presented between the presented model and other models to demonstrate the superiority of our model over the others. Moreover, the difference in outcome between pre- and post-data pre- processing and augmentation was discussed. The highest accuracy metrics extracted from confusion matrices are; precision of 99.1% for pituitary, sensitivity of 98.7% for glioma, specificity of 99.1%, and accuracy of 99.1% for pituitary. The overall accuracy obtained is 96.1%. Keywords: Brain tumor CNN Deep learning Image classification Image processing This is an open access article under the CC BY-SA license. Corresponding Author: Toqa A. Sadoon Department of Electrical and Communication Engineering Al-Nahrain University PO Box 64040, Baghdad, Iraq Email: toqa.am.wd@gmail.com 1. INTRODUCTION The second most important cause of death according to the world health organization is cancer, and there are about 9.6 million deaths in 2018 because of cancer. Globally, about 1 out of every 6 deaths from cancer. On the other hand, the brain considers one of the most complex organs in the human body that works with billions of cells. The accumulation of abnormal cells in the brain leads to the so-called brain tumor. A brain tumor is divided into two categories, primary and secondary. The first one arises in the brain, while the second one arises from other parts of the body. The tumors can be cancerous (malignant) or non-cancerous (benign). Cancerous brain tumors grow rapidly and spread to other areas of the brain compared to non- cancerous tumors. Glioma, meningioma, and pituitary are other different types of brain tumors [1]. On a larger scale, glioma tumor which is the most common type of primary brain tumor [2] are classified into four grades, and the higher the grade, the more malignant the tumor, and originate in the glial cells of the brain [3]. Meningiomas, which originate from a layer of tissue called the meninges, are sometimes considered benign tumors. The growth of this species is slow and less widespread. While the pituitary tumor grows on the pituitary gland. These tumors are also benign and less widespread [4, 5].