Abstract :

Brain tumor detection is a critical task in medical diagnosis, as early identification significantly improves patient survival rates. Manual analysis of MRI scans is time-consuming and prone to human error. This paper proposes an automated brain tumor detection system using Artificial Intelligence and Machine Learning techniques, particularly deep learning based convolutional neural networks (CNNs). The proposed model classifies MRI images into tumor and non-tumor classes and further categorizes tumor types. Experimental results demonstrate that the system achieves high accuracy and reliability, making it suitable for assisting radiologists in clinical decision-making. KEYWORDS: Brain tumor, MRI, Machine Learning, Deep Learning, CNN, Medical Imaging, AI in Healthcare