A Comparative Review of Multimodal Fusion Techniques for Medical Image Diagnosis

Medical image fusion involves combining multiple images captured using different imaging techniques into a single, highly informative image, thereby enhancing the utility of medical images in clinical settings. This article presents a brief overview of multimodal medical image fusion technology, specifically focusing on recent advances in the field. These advancements build upon existing fusion methods and tools, including deep learning-based fusion technologies, medical image fusion imaging techniques, and medical image fusion performance evaluation using large datasets. Despite facing several challenges, contemporary multimodal medical image fusion research has made significant strides, as underscored by the findings in this report.