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 …

A comprehensive survey analysis for present solutions of medical image fusion and future directions

OS Faragallah, H El-Hoseny, W El-Shafai… - IEEE …, 2020 - ieeexplore.ieee.org
The track of medical imaging has witnessed several advancements in the last years. Several
medical imaging modalities have appeared in the last decades including X-ray, Computed …

[Retracted] Brain Tumor Detection and Classification by MRI Using Biologically Inspired Orthogonal Wavelet Transform and Deep Learning Techniques

M Arif, F Ajesh, S Shamsudheen… - Journal of …, 2022 - Wiley Online Library
Radiology is a broad subject that needs more knowledge and understanding of medical
science to identify tumors accurately. The need for a tumor detection program, thus …

Parameter adaptive unit-linking pulse coupled neural network based MRI–PET/SPECT image fusion

C Panigrahy, A Seal, C Gonzalo-Martín… - … Signal Processing and …, 2023 - Elsevier
Medical image fusion has many applications to healthcare that is accomplished by
extracting and then combining the complementary information from multiple medical images …

Medical image fusion via discrete stationary wavelet transform and an enhanced radial basis function neural network

Z Chao, X Duan, S Jia, X Guo, H Liu, F Jia - Applied Soft Computing, 2022 - Elsevier
Medical image fusion of images obtained via different modes can expand the inherent
information of original images, whereby the fused image has a superior ability to display …

[PDF][PDF] Multimodal medical image registration and fusion for quality enhancement

MA Azam, KB Khan, M Ahmad… - Computers, Materials & …, 2021 - cdn.techscience.cn
For the last two decades, physicians and clinical experts have used a single imaging
modality to identify the normal and abnormal structure of the human body. However, most of …

CSID: A novel multimodal image fusion algorithm for enhanced clinical diagnosis

SR Muzammil, S Maqsood, S Haider, R Damaševičius - Diagnostics, 2020 - mdpi.com
Technology-assisted clinical diagnosis has gained tremendous importance in modern day
healthcare systems. To this end, multimodal medical image fusion has gained great …

[HTML][HTML] A new optimized configuration for capacity and operation improvement of CCHP system based on developed owl search algorithm

Y Cao, Q Wang, Z Wang, K Jermsittiparsert, M Shafiee - Energy Reports, 2020 - Elsevier
One of the best ways to optimally consuming fossil fuel thermal energy is to utilize combined
cooling, heating, and power (CCHP) systems. In such systems, by recycling heat wasted …

Bearing fault diagnosis method based on multi-source heterogeneous information fusion

K Zhang, T Gao, H Shi - Measurement Science and Technology, 2022 - iopscience.iop.org
Bearing fault diagnosis is a critical component of the mechanical equipment monitoring
system. In the complex and harsh environment in which bearings operate, the fault …

[PDF][PDF] Identification of thoracic diseases by exploiting deep neural networks

S Albahli, HT Rauf, M Arif, MT Nafis, A Algosaibi - Neural Netw, 2021 - researchgate.net
With the increasing demand for doctors in chest related diseases, there is a 15%
performance gap every five years. If this gap is not filled with effective chest disease …