Smart healthcare is a framework that utilizes technologies such as wearable devices, the
Internet of Medical Things (IoMT), sophisticated machine learning algorithms, and wireless …

Multi-modality is widely used in medical imaging, because it can provide multiinformation
about a target (tumor, organ or tissue). Segmentation using multimodality consists of fusing …

Deep learning methods have achieved significant results in various fields. Due to the
success of these methods, many researchers have used deep learning algorithms in …

As an effective way to integrate the information contained in multiple medical images with
different modalities, medical image fusion has emerged as a powerful technique in various …

Multi-modality image fusion provides more comprehensive and sophisticated information in
modern medical diagnosis, remote sensing, video surveillance, and so on. This paper …

The approach of multimodal medical image fusion, which extracts complementary
information from several multimodality medical pictures, is one of the most significant and …

Medical image fusion technique plays an an increasingly critical role in many clinical
applications by deriving the complementary information from medical images with different …

An image fusion based on multimodal medical images renders a considerable
enhancement in the quality of fused images. An effective image fusion technique produces …

Image fusion is an important task for computer vision as a diverse range of applications are
benefiting from the fusion operation. The existing image fusion methods are largely …

Multimodal medical image fusion plays a vital role in different clinical imaging sensor
applications. This paper presents a novel multimodal medical image fusion method that …