A review on multimodal medical image fusion: Compendious analysis of medical modalities, multimodal databases, fusion techniques and quality metrics

MA Azam, KB Khan, S Salahuddin, E Rehman… - Computers in biology …, 2022 - Elsevier
Background and objectives Over the past two decades, medical imaging has been
extensively apply to diagnose diseases. Medical experts continue to have difficulties for …

Multimodal medical image fusion algorithm in the era of big data

W Tan, P Tiwari, HM Pandey, C Moreira… - Neural computing and …, 2020 - Springer
In image-based medical decision-making, different modalities of medical images of a given
organ of a patient are captured. Each of these images will represent a modality that will …

SwinFusion: Cross-domain long-range learning for general image fusion via swin transformer

J Ma, L Tang, F Fan, J Huang, X Mei… - IEEE/CAA Journal of …, 2022 - ieeexplore.ieee.org
This study proposes a novel general image fusion framework based on cross-domain long-
range learning and Swin Transformer, termed as SwinFusion. On the one hand, an attention …

[HTML][HTML] Medical image fusion method by deep learning

Y Li, J Zhao, Z Lv, J Li - International Journal of Cognitive Computing in …, 2021 - Elsevier
Deep learning technology has been extensively explored in pattern recognition and image
processing areas. A multi-mode medical image fusion with deep learning will be proposed …

EMFusion: An unsupervised enhanced medical image fusion network

H Xu, J Ma - Information Fusion, 2021 - Elsevier
Existing image fusion methods always use the same representations for different modal
medical images. Otherwise, they solve the fusion problem by subjectively defining …

Multimodal medical image fusion based on joint bilateral filter and local gradient energy

X Li, F Zhou, H Tan, W Zhang, C Zhao - Information Sciences, 2021 - Elsevier
As a powerful assistance technique for biomedical diagnosis, multimodal medical image
fusion has emerged as a hot topic in recent years. Unfortunately, the trade-off among fusion …

Coconet: Coupled contrastive learning network with multi-level feature ensemble for multi-modality image fusion

J Liu, R Lin, G Wu, R Liu, Z Luo, X Fan - International Journal of Computer …, 2024 - Springer
Infrared and visible image fusion targets to provide an informative image by combining
complementary information from different sensors. Existing learning-based fusion …

Agent architecture of an intelligent medical system based on federated learning and blockchain technology

D Połap, G Srivastava, K Yu - Journal of Information Security and …, 2021 - Elsevier
Multi-agent systems enable the division of complicated tasks into individual objects that can
cooperate. Such architecture can be useful in building solutions in the Internet of Medical …

A bilevel integrated model with data-driven layer ensemble for multi-modality image fusion

R Liu, J Liu, Z Jiang, X Fan, Z Luo - IEEE transactions on image …, 2020 - ieeexplore.ieee.org
Image fusion plays a critical role in a variety of vision and learning applications. Current
fusion approaches are designed to characterize source images, focusing on a certain type of …

SGFusion: A saliency guided deep-learning framework for pixel-level image fusion

J Liu, R Dian, S Li, H Liu - Information Fusion, 2023 - Elsevier
Pixel-level image fusion, which merges different modal images into an informative image,
has attracted more and more attention. Despite many methods that have been proposed for …