Deep Learning-Based Medical Image Enhancement for Improved Visualization

Abstract

Medical imaging plays a crucial role in modern healthcare for the diagnosis and treatment of various diseases. However, the quality of medical images can sometimes be suboptimal due to factors such as noise, low resolution, and artifacts. In this paper, we propose a deep learning-based approach for enhancing medical images to improve visualization and diagnostic accuracy. We demonstrate the effectiveness of our approach on a dataset of medical images, showing significant improvements in image quality and diagnostic performance. Our findings suggest that deep learning-based image enhancement techniques have the potential to revolutionize medical imaging and improve patient care.