As a powerful assistance technique for biomedical diagnosis, multimodal medical image
fusion has emerged as a hot topic in recent years. Unfortunately, the trade-off among fusion …

Multi-modal medical image fusion not only creates an image that preserves important
information from the input images but also significantly improves in quality. This work …

The medical image fusion is the process of coalescing multiple images from multiple
imaging modalities to obtain a fused image with a large amount of information for increasing …

Background In recent years, numerous fusion algorithms have been proposed for
multimodal medical images. The Laplacian pyramid is one type of multiscale fusion method …

Fusion of multimodal medical images increases robustness and enhances accuracy in
biomedical research and clinical diagnosis. It attracts much attention over the past decade …

In the clinical environment, medical imaging plays a prominent role in assisting
radiologists/doctors. The information present in the images is crucial especially during the …

Sparse representation (SR) has been widely used in image fusion in recent years. However,
source image, segmented into vectors, reduces correlation and structural information of …

In image-based medical decision-making, different modalities of medical images of a given
organ of a patient are captured. Each of these images will represent a modality that will …

Multi-modal medical image fusion is the process of merging multiple images from single or
multiple imaging modalities to improve the imaging quality with preserving the specific …

Multi-modal medical image fusion brings many benefits to clinical diagnosis and analysis
because it creates favorable conditions for diagnostic imaging practitioners to make a more …