Today, medical images play a crucial role in obtaining relevant medical information for
clinical purposes. However, the quality of medical images must be analyzed and improved …

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

Medical image fusion is the process of combining information from multiple medical images
of the same body region acquired using different imaging modalities, such as computed …

Multi-modal medical image fusion (MMIF) integrates medical images of different modalities
into an image with rich information to boost the accuracy and efficiency of clinical diagnosis …

Cloud computing is the innovation that is as of now used to give clients foundation, stage,
and programming administrations really. Under this framework, Platform as a Service (PaaS) …

Multi-modal medical image fusion provides comprehensive and objective descriptions of
lesions for clinical medical assistance. However, retaining useful information while …

Abstract The Internet of Medical Things (IoMT) has included a new layer for development
and smart infrastructure growth in the medical field. Besides, the medical data on IoMT …

Purpose This study proposed an end-to-end unsupervised medical fusion generative
adversarial network, MedFusionGAN, to fuse computed tomography (CT) and high …

Image fusion technology is a method that uses a specific algorithm to extract and fuse
features from multiple images and then combine them into one image. Unfortunately, most of …

Multimodal image fusion plays an essential role in medical image analysis and application,
where computed tomography (CT), magnetic resonance (MR), single-photon emission …