A generative adversarial network (GAN) is one of the most significant research directions in
the field of artificial intelligence, and its superior data generation capability has garnered …

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 …

The fusion of multi-modal medical images makes a significant contribution to clinical
diagnosis and analysis because it allows diagnostic imaging practitioners to make a more …

Visible and thermal images acquired from drones (unoccupied aircraft systems) have
substantially improved animal monitoring. Combining complementary information from both …

Medical image fusion has brought practical applications in clinical diagnosis. However,
image fusion methods still face challenges because of problems with the quality of the input …

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 …

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 …

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 …

Breast cancer is one of the leading causes of death in women worldwide—the rapid
increase in breast cancer has brought about more accessible diagnosis resources. The …

Multimodal medical image fusion has been attracting the attention of researchers in recent
years because it supports doctors in enhancing clinical diagnosis. Improving the quality of …