A Novel Image Fusion and Fuzzy-Based Method for Retinal Eye Disease Detection

A fuzzy-based picture fusion and mask scoring system was adopted in this study to provide a unique methodology for the early detection of retinal disorders. The main goal is to improve accuracy in the detection of using several retinal images. Our methodology combines a fuzzy-based scoring system and state-of-the-art image fusion techniques to analyze retinal images. The experimental findings achieved an accuracy percentage of 92.5% which indicates significant improvement over traditional methods and health. With the recommendation method, we have undertaken further diagnosis and provided a firm basis for merging different imaging modalities toward the full-fledged identification of retinal diseases and Increasing life expectancy.