Artificial Intelligence Based Medical Image Processing for Diabetic Retinopathy Detection

Abstract

The integration of Artificial Intelligence (AI) in image processing has revolutionized the way we analyze and manipulate visual data. This abstract provides an overview of the multifaceted role of AI in image processing, highlighting its transformative impact on various domains and applications. AI-based image processing techniques leverage deep learning algorithms, neural networks, and machine learning to extract meaningful information from images. In medical imaging, AI plays a pivotal role in diagnosing diseases, identifying anomalies in radiological scans, and improving the accuracy of early detection. In the field of autonomous vehicles, AI-powered vision systems are essential for recognizing pedestrians, road signs, and other vehicles, ensuring safe navigation. In agriculture, AI-driven image processing aids in crop monitoring, disease detection, and yield prediction. Furthermore, AI has revolutionized the creative industry, enabling the generation of art, music, and animations based on visual inputs. It has also played a crucial role in surveillance and security by developing advanced facial recognition and anomaly detection systems. This paper deals about Artificial Intelligence algorithms integration based Medical Image Processing for Diabetic Retinopathy Detection using MATLAB simulation.