[HTML][HTML] Multimodal medical image fusion towards future research: A review

SU Khan, MA Khan, M Azhar, F Khan, Y Lee… - Journal of King Saud …, 2023 - Elsevier
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 …

A review of the application of three-dimensional convolutional neural networks for the diagnosis of Alzheimer's disease using neuroimaging

X Xu, L Lin, S Sun, S Wu - Reviews in the Neurosciences, 2023 - degruyter.com
Alzheimer's disease (AD) is a degenerative disorder that leads to progressive, irreversible
cognitive decline. To obtain an accurate and timely diagnosis and detect AD at an early …

A framework to distinguish healthy/cancer renal CT images using the fused deep features

V Rajinikanth, PMDR Vincent, K Srinivasan… - Frontiers in Public …, 2023 - frontiersin.org
Introduction Cancer happening rates in humankind are gradually rising due to a variety of
reasons, and sensible detection and management are essential to decrease the disease …

A coupled-GAN architecture to fuse MRI and PET image features for multi-stage classification of Alzheimer's disease

C Choudhury, T Goel, M Tanveer - Information Fusion, 2024 - Elsevier
Alzheimer's disease (AD) is a degenerative neurological ailment that begins with memory
loss and ultimately leads to a total loss of mental capacity. Researchers are interested in …

Towards full-stack deep learning-empowered data processing pipeline for synchrotron tomography experiments

Z Zhang, C Li, W Wang, Z Dong, G Liu, Y Dong… - The Innovation, 2024 - cell.com
Synchrotron tomography experiments are transitioning into multifunctional, cross-scale, and
dynamic characterizations, enabled by new-generation synchrotron light sources and fast …

Survey: application and analysis of generative adversarial networks in medical images

Y Heng, M Yinghua, FG Khan, A Khan, F Ali… - Artificial Intelligence …, 2024 - Springer
Abstract Generative Adversarial Networks (GANs) have shown promising prospects and
achieved significant results in medical image analysis tasks. This article provides a …

Convolutional laplacian gaussian pyramid approach multimodal medical image fusion

G Ramarao, CH Bindu, TSN Murthy - Multimedia Tools and Applications, 2024 - Springer
The importance of accurate clinical diagnosis has garnered that for scholars within a
particular field of medical imaging, leading to a focus on image fusion as a potential …

Medical Image Fusion for Multiple Diseases Features Enhancement

SU Khan, M Alharbi, S Shah… - International Journal of …, 2024 - Wiley Online Library
Throughout the past 20 years, medical imaging has found extensive application in clinical
diagnosis. Doctors may find it difficult to diagnose diseases using only one imaging …

An efficient Dense-Resnet for multimodal image fusion using medical image

T Ghosh, N Jayanthi - Multimedia Tools and Applications, 2024 - Springer
Nowadays, the visual content of various medical images is increased through multimodal
image fusion to gather more information from medical images. The complementary …

Application of relative total variation optical decomposition fusion method on medical images

C Ghandour, W El-Shafai, S El-Rabaie - Journal of Optics, 2023 - Springer
In this paper, we describe a medical image fusion technique based on relative total variation
decomposition (RTVD) that can concurrently maintain the texture and contrast information of …