Paper Title
IMAGE FUSION MACHINE LEARNING MODEL FOR BETTER ANALYSIS OF MEDICAL RESEARCH

Abstract
The proposed machine learning model is dedicated in fusion of MRI and CT scan images for better analysis of medical research. The fused image results in efficiently higher results than the existing systems. The proposed model is developed for multimodal image fusion of CT and MRI Scan images. This can be highly used for specific research such as Brain Tumour. The model is expected to have a result of fused image with a minimum measure between pixel-wise difference. For every 200 times once the learning efficiency of the model is increased by 20% in the measure of pixel wise difference. Keywords - CT: Computed Tomography, MRI: Magnetic Resonance Imaging