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.