Medical image fusion, which aims to combine multi-source information captured by different
imaging modalities, is of great significance to medical professionals for precise diagnosis …

Medical image fusion is a relevant area with widespread application in disease diagnosis
and prediction with easily available image scans of Computed Tomography, Positron …

In the field of diagnosis and treatment planning of Coronavirus disease 2019 (COVID-19),
accurate infected area segmentation is challenging due to the significant variations in the …

Medical image fusion aims to integrate the complementary information captured by images
of different modalities into a more informative composite image. However, current study on …

Abstract The Generative Adversarial Network (GAN) is commonly used for medical image
augmentation, a method to alleviate the data shortage for downstream tasks. However …

Infrared and visible image fusion technology aims to integrate the heat source information of
infrared image into the visible image to generate a more informative image. Many fusion …

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 …

Multimodal medical image fusion can combine salient information from different source
images of the same part and reduce the redundancy of information. In this paper, an efficient …

Image fusion techniques have been widely used for multi-modal medical image fusion tasks.
Most existing methods aim to improve the overall quality of the fused image and do not focus …

Motion tracking is an effective approach for the management of respiratory motion during the
medical imaging process, which has always been a major concern in diagnostic imaging …