Harnessing AI for Life-Saving Insights: A CNN-Based System for Brain Tumor Classification

Abstract

Brain tumors are complex and diverse, making early and precise detection essential for effective treatment. Radiologists and neurologists formerly analyzed MRI data manually, a time-consuming process that occasionally resulted in errors. Deep learning and Convolutional Neural Networks (CNNs) are two forms of artificial intelligence (AI) that have significantly enhanced the accuracy, speed, and reliability of brain tumor diagnosis. AI-driven techniques can categorize brain tumors into classifications such as pituitary tumors, gliomas, meningiomas, and healthy tissue utilizing MRI data annotated by specialists. This approach is more expedient and precise than conventional procedures. This advancement has the capacity to significantly enhance therapy results in neuro-oncology.