| Abstract |
The field of medicine is undergoing a major transformation driven by Artificial Intelligence (AI). With
advancements in digital data collection, machine learning techniques, and powerful computing
capabilities, AI is now being applied to areas once dominated by human expertise. Brain tumors, which
involve abnormal tissue growth from uncontrolled cell proliferation, present a significant health risk
due to their potential malignancy. These tumors can invade and damage healthy brain tissue, resulting
in severe consequences. This project explores recent advancements in AI technologies and their
applications in the biomedical sector. We address the challenges that must be overcome to advance
medical AI systems and examine the economic, legal, and social implications of integrating AI into
healthcare.
In response to these needs, we propose a novel approach for accurate brain tumor detection and
classification. Our project features an intuitive interface that supports tumor detection, classification,
and severity assessment. It utilizes Convolutional Neural Networks (CNNs) for reliable tumor
classification and incorporates state-of-the-art machine learning algorithms to enhance performance |
