Affiliation:
1. Christ University, India
Abstract
Artificial Intelligence (AI) applications in the realm of computer vision have witnessed remarkable advancements, reshaping various industries and solving complex problems. In this context, this research focuses on the use of convolutional neural networks (CNNs) for classifying brain tumors - a crucial domain within medical imaging. Leveraging the power of CNNs, this research aimed to accurately classify brain tumor images into “No Tumor” and “Tumor” categories. The achieved test loss of 0.4554 and test accuracy of 75.89% exemplify the potential of AI-powered computer vision in healthcare. These results signify the significance of AI-driven image analysis in assisting healthcare professionals with early tumor detection and improved diagnostics, underlining the need for continuous refinement and validation to ensure its clinical effectiveness. This research adds to the expanding research and applications that harness AI and computer vision to enhance healthcare decision-making processes.