SMDFnet: Saliency multiscale dense fusion network for MRI and CT image fusion.

MRI-CT image fusion technology combines magnetic resonance imaging (MRI) and computed tomography (CT) imaging to provide more comprehensive and accurate image information. This fusion technology can play an important role in medical diagnosis and surgical planning. However, there are several issues with current MRI-CT image fusion, such as the presence of artifacts in both MRI and CT images, which may affect the quality and accuracy of the images during the fusion process.

CDRNet: Cascaded dense residual network for grayscale and pseudocolor medical image fusion.

Objective: Multimodal medical fusion images have been widely used in clinical medicine, computer-aided diagnosis and other fields. However, the existing multimodal medical image fusion algorithms generally have shortcomings such as complex calculations, blurred details and poor adaptability. To solve this problem, we propose a cascaded dense residual network and use it for grayscale and pseudocolor medical image fusion.