Deep Learning Approaches for Enhancing Medical Image Analysis

Abstract

This study reviews the impact of deep learning techniques on medical image analysis. We evaluate various convolutional neural network (CNN) architectures and their performance in detecting and diagnosing medical conditions from images. Our findings underscore the potential of deep learning to revolutionize medical diagnostics by providing faster and more accurate results than traditional methods. We discuss future prospects for integrating these technologies into clinical practice.