College of Computer Science and Mathematics

Discussion of the master’s thesis in the College of Computer Science and Mathematics -Department of software : ” Brain Tumor Images Segmentation Using Artificial Intelligence Techniques ”

Master’s thesis by Mohanad Raied Ibrahim Saied

supervised by   Dr. Jamal Salahaldeen Majeed Sayed Hamo

The primary objective of this project is to work on a system for constructing a segmentation system for the tumor area in the human brain and detection the type of tumor based on magnetic resonance images using artificial intelligence techniques, which helps the oncologist in the accuracy and speed of diagnosis of the patient’s condition. Multi-model deep learning was used to build two automatic segmentation models through the automatic segmentation algorithm (U-Net) and a model for diagnosing the type of tumor using the algorithm (Efficent Net-B3) from among the most common types, which are (glioma brain tumor, meningioma brain tumor, pituitary tumor), as well as diagnosing the brain in its healthy state. High-accuracy results were obtained compared to previous studies.

The discussion committee consists of

(Chairman) Asst. Prof. Dr. Yusra Faisal Mohammed .

(Member) Asst. Prof. Dr. Alaa Yaseen Taha .

(Member) Dr. Shatha Abdullah Mohammed .

(member and supervisor) Asst. Prof. Dr. Jamal Salahaldeen Majeed Sayed Hamo