Background and objectives Over the past two decades, medical imaging has been
extensively apply to diagnose diseases. Medical experts continue to have difficulties for …

Convolutional neural network (CNN) has shown dissuasive accomplishment on different
areas especially Object Detection, Segmentation, Reconstruction (2D and 3D), Information …

Medical imaging has been widely used to diagnose various disorders over the past 20
years. Primary challenges in medicine include accurate disease identification and improved …

The exact lung cancer identification is a critical problem that has attracted the researchers'
attention. The practice of multiview single image and segmentation has been widely used for …

The multispectral (MS) and the panchromatic (PAN) images represent complementary and
synergistic spatial spectral information, how to make optimal use of the advantages of them …

Infrared and visible image fusion aim to obtain a fused image with salient targets and
preserve abundant texture detail information as much as possible, which can potentially …

For the last two decades, physicians and clinical experts have used a single imaging
modality to identify the normal and abnormal structure of the human body. However, most of …

Background and Purpose COVID-19 is a new strain of viruses that causes life stoppage
worldwide. At this time, the new coronavirus COVID-19 is spreading rapidly across the world …

Recently, image fusion has become one of the most promising fields in image processing
since it plays an essential role in different applications, such as medical diagnosis and …

Optimal selection of fusion strategy based on image difference information is an important
way to improve the adaptive performance of infrared photoelectric detection systems …