Object Detection for Brain Cancer Detection and Localization

Brain cancer is acknowledged as one of the most aggressive tumors, with a significant impact on patient survival rates. Unfortunately, approximately 70% patients diagnosed this malignant do not survive. This paper introduces method designed to detect and localize brain by proposing an automated approach for detection localization cancer. The utilizes magnetic resonance imaging analysis. By leveraging information provided medical images, proposed aims enhance precise improve prognosis treatment outcomes patients. We exploit YOLO model automatically cancer: in analysis 300 images we obtain precision 0.943 recall 0.923 while, relating localization, mAP_0.5 equal 0.941 reached, thus showing effectiveness localization.