Medical image fusion is a technology of combining multi‐modal images to generate a
composite image, which is favorable to improve the capability of doctors in diagnosis and …

Over the last two decades, radiologists have been using multi-view images to detect tumors.
Computer Tomography (CT) imaging is considered as one of the reliable imaging …

Deep learning has made significant advancements in recent years. The technology is
rapidly evolving and has been used in numerous automated applications with minimal loss …

Magnetic resonance and nuclear medicine images are the two categories of multimodal
medical images. Magnetic resonance images reveal physiological anatomical information of …

Multimodal medical image fusion aims to fuse images with complementary multisource
information. In this paper, we propose a novel multimodal medical image fusion method …

This paper proposes a self-supervised framework based on a contrastive auto-encoding and
convolutional information exchange for multi-modal medical fusion tasks. It is well known …

Multimodal medical image fusion (MMIF) technology can effectively improve the efficiency
and accuracy of doctors in clinical diagnosis and treatment by combining different modes of …

Multi-modal medical image fusion (MMIF) is used to merge multiple modes of medical
images for better imaging quality and more comprehensive information, such that enhancing …

This work presents a multi‐focus image fusion method based on Transformer and U‐Net
with an unsupervised training fashion. In this work, the authors introduce Transformer into …

Multi-focus image fusion (MFIF) combines information by utilizing various image sequences
of the same scenes at different of focus depths. The available MFIF method based on …