Infrared-visible image fusion aims to achieve salient targets and abundant texture details.
However, most of fusion methods based on multi-scale decomposition fail to effectively …

Medical image fusion aims to fuse multiple images from a single or multiple imaging modes
to enhance their corresponding clinical applications in diagnosing and evaluating medical …

Image fusion is process of aggregating two or more than two degraded images into single
image whose overall image quality is better than the previous input images. Multi-focus …

With the rapid development of medical imaging methods, multimodal medical image fusion
techniques have caught the interest of researchers. The aim is to preserve information from …

Lung cancer remains a leading cause of cancer-related mortality globally, with prognosis
significantly dependent on early-stage detection. Traditional diagnostic methods, though …

While 7T diffusion magnetic resonance imaging (dMRI) has high spatial resolution, its
diffusion imaging quality is usually affected by signal loss due to B1 inhomogeneity, T2 …

This study looks at the problems and difficulties that various tourists, teachers, and students
run into when on educational trips. A lack of thorough information about educational hubs …

BACKGROUND: The emergence of deep learning (DL) techniques has revolutionized tumor
detection and classification in medical imaging, with multimodal medical imaging (MMI) …

In the medical imaging field, images are obtained using various modalities, including the
computed tomography procedure and the magnetic resonance imaging procedure. In which …

With the rapid development of medical imaging technology and computer technology, the
medical imaging artificial intelligence of computer-aided diagnosis based on machine …