Multimodal medical image fusion review: Theoretical background and recent advances
Multimodal medical image fusion consists in combining two or more images of the same or
different modalities aiming to improve the image content, and preserve information. The …
different modalities aiming to improve the image content, and preserve information. The …
A review of multimodal medical image fusion techniques
B Huang, F Yang, M Yin, X Mo… - … mathematical methods in …, 2020 - Wiley Online Library
The medical image fusion is the process of coalescing multiple images from multiple
imaging modalities to obtain a fused image with a large amount of information for increasing …
imaging modalities to obtain a fused image with a large amount of information for increasing …
A phase congruency and local Laplacian energy based multi-modality medical image fusion method in NSCT domain
Z Zhu, M Zheng, G Qi, D Wang, Y **ang - Ieee Access, 2019 - ieeexplore.ieee.org
Multi-modality image fusion provides more comprehensive and sophisticated information in
modern medical diagnosis, remote sensing, video surveillance, and so on. This paper …
modern medical diagnosis, remote sensing, video surveillance, and so on. This paper …
[HTML][HTML] Multimodal medical image fusion towards future research: A review
Medical imaging has been widely used to diagnose various disorders over the past 20
years. Primary challenges in medicine include accurate disease identification and improved …
years. Primary challenges in medicine include accurate disease identification and improved …
Conv-ervfl: Convolutional neural network based ensemble RVFL classifier for Alzheimer's disease diagnosis
As per the latest statistics, Alzheimer's disease (AD) has become a global burden over the
following decades. Identifying AD at the intermediate stage became challenging, with mild …
following decades. Identifying AD at the intermediate stage became challenging, with mild …
A sensor fusion based approach for bearing fault diagnosis of rotating machine
Fault diagnosis in rotating machines plays a vital role in various industries. Bearing is the
essential element of rotating machines, and early fault detection can reduce the …
essential element of rotating machines, and early fault detection can reduce the …
Multi‐sensor medical image fusion using pyramid‐based DWT: a multi‐resolution approach
Generally, image fusions are carried out on two‐dimensional (2D) images, but the
operations with the 2D images increase the computational complexity than vector data. This …
operations with the 2D images increase the computational complexity than vector data. This …
An optimal registration on shearlet domain with novel weighted energy fusion for multi-modal medical images
Medical images usually display various attributes of data on human viscera and abnormal
tissue in different modalities. The fusion of images, ensures effective deployment of all …
tissue in different modalities. The fusion of images, ensures effective deployment of all …
Review of various image fusion algorithms and image fusion performance metric
Image fusion is the process in which substantial information taken through different sensors,
different exposure values and at different focus points is integrated together to generate a …
different exposure values and at different focus points is integrated together to generate a …
RETRACTED ARTICLE: CT and MRI multi-modal medical image fusion using weight-optimized anisotropic diffusion filtering
GT Vasu, P Palanisamy - Soft Computing, 2023 - Springer
The purpose of multi-modal medical image fusion is to improve the accuracy of clinical
diagnosis; the fused image is produced by retaining the essential characteristics and precise …
diagnosis; the fused image is produced by retaining the essential characteristics and precise …