Brain Tumor Detection : CNN Based Brain Tumor Detection for MRI Scan

The Brain tumor detection and classification are critical for effective treatment of the patient care. This study proposes a Convolutional Neural Network (CNN)-based approach for analyzing brain MRI images to automatically detect and classify brain tumors. The model is trained on a labeled dataset consisting of various tumor types, including glioma, meningioma, and pituitary tumors. Through image preprocessing, data augmentation, and optimized CNN architecture, the system achieves high accuracy and reliability in tumor classification. The results demonstrate the potential of CNNs in supporting radiologists with faster and more accurate diagnoses, paving the way for improved medical imaging solutions.