The track of medical imaging has witnessed several advancements in the last years. Several
medical imaging modalities have appeared in the last decades including X-ray, Computed …

Existing image fusion methods always use the same representations for different modal
medical images. Otherwise, they solve the fusion problem by subjectively defining …

At present, multimodal medical image fusion technology has become an essential means for
researchers and doctors to predict diseases and study pathology. Nevertheless, how to …

Medical image fusion of images obtained via different modes can expand the inherent
information of original images, whereby the fused image has a superior ability to display …

Goal: Implementation of an artificial intelli gence-based medical diagnosis tool for brain
tumor classification, which is called the BTFSC-Net. Methods: Medical images are …

Medical image fusion aims to derive complementary information from medical images with
different modalities and is becoming increasingly important in clinical applications. The …

Background and Objectives: Brain Tumor Fusion-based Segments and Classification-Non-
enhancing tumor (BTFSC-Net) is a hybrid system for classifying brain tumors that combine …

The rapid development of remote sensing and space technology provides multisource
remote sensing image data for earth observation in the same area. Information provided by …

The advancement of medical imaging has led to the acquisition of image data from multiple
modalities, necessitating the development of robust algorithms for accurate and reliable …

Medical image fusion is of great significance in medical analysis and disease diagnosis.
Until now, there are still limitations to the current fusion methods to our current knowledge …