My master’s thesis at the College of Computer Science and Information Technology at the University of Karbala discussed the automated detection and diagnosis of brain tumors using machine learning techniques.
The study, presented by student Sarah Ali Abdel Hussein, aimed to design a model for detecting human brain tumors based on magnetic resonance images into four different types: (pituitary gland, glioma, meningioma, and the absence of a tumor in normal cases).
The study led to the development of a new model capable of detecting tumor using segmentation and image classification techniques (region-based segmentation and edge-based segmentation).
The study recommended using a region-based segmentation technique and then combining the VGG16 model with the Random Forest (RF) classification algorithm to classify the type of disease.
