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 …

Current advances and future perspectives of image fusion: A comprehensive review

S Karim, G Tong, J Li, A Qadir, U Farooq, Y Yu - Information Fusion, 2023 - Elsevier
Multiple imaging modalities can be combined to provide more information about the real
world than a single modality alone. Infrared images discriminate targets with respect to their …

An automatic plant leaf disease identification using DenseNet-121 architecture with a mutation-based henry gas solubility optimization algorithm

S Nandhini, K Ashokkumar - Neural Computing and Applications, 2022 - Springer
Farmers are struggling to provide the fast-growing population with sufficient agricultural
products, while plant diseases result in devastating food loss. The billions of dollars spent by …

Bee optimization based random double adaptive whale optimization model for task scheduling in cloud computing environment

N Manikandan, N Gobalakrishnan… - Computer Communications, 2022 - Elsevier
Cloud computing is the computing technology that offers dynamically scalable and flexible
computing resources. Task scheduling in the cloud system is the major problem that needs …

Medical image fusion based on enhanced three-layer image decomposition and chameleon swarm algorithm

PH Dinh - Biomedical Signal Processing and Control, 2023 - Elsevier
Medical image fusion has brought practical applications in clinical diagnosis. However,
image fusion methods still face challenges because of problems with the quality of the input …

Opposition grasshopper optimizer based multimedia data distribution using user evaluation strategy

V Sundararaj, M Selvi - Multimedia Tools and Applications, 2021 - Springer
Multimedia services are offered to the demanding user by the multimedia cloud. By the fact,
the sudden increase of network users has reduced the service receiving response time …

Optimization of VGG16 utilizing the arithmetic optimization algorithm for early detection of Alzheimer's disease

N Deepa, SP Chokkalingam - Biomedical Signal Processing and Control, 2022 - Elsevier
Early detection and prevention of Alzheimer's disease (AD) is an important and challenging
task. Determining a precise and accurate diagnosis of Alzheimer's disease in its early stages …

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 …

An efficient cloud‐based healthcare services paradigm for chronic kidney disease prediction application using boosted support vector machine

J Aswini, B Yamini, R Jatothu… - Concurrency and …, 2022 - Wiley Online Library
Cloud computing is the on‐demand access to computer resources such as applications,
servers, data storage, development tools, networking capabilities, and other resources that …

Segmentation and classification of breast cancer using novel deep learning architecture

S Ramesh, S Sasikala, S Gomathi, V Geetha… - Neural Computing and …, 2022 - Springer
Breast cancer is one of the most frequent cancers in women, and it has a higher mortality
rate than other cancers. As a result, early detection is critical. In computer-assisted disease …