Fusion of Medical Images for Better Quality

Medical image fusion is a popular subject in the medical imaging industry because it improves clinical diagnostic accuracy by combining complimentary information from several pictures. The existing study involves a multimodal picture fusion technique. This paper presents, including the Convolution Neural Network (CNN), to develop the network for images. With the help of network, feature maps can be developed for images. Finally, by usage of an improved feature maps along merging scheme the fusion of image is produced. MATLAB environment used for simulation for proposed algorithm.