Detecting COVID-19 infection status from chest X-ray and CT scan via single transfer learning-driven approach

P Ghose, M Alavi, M Tabassum, M Ashraf Uddin… - Frontiers in …, 2022 - frontiersin.org
COVID-19 has caused over 528 million infected cases and over 6.25 million deaths since its
outbreak in 2019. The uncontrolled transmission of the SARS-CoV-2 virus has caused …

Unveiling Alzheimer's Disease Early: A Comprehensive Review of Machine Learning and Imaging Techniques

W Hechkel, A Helali - Archives of Computational Methods in Engineering, 2024 - Springer
Alzheimer's disease (AD) represents a growing global health concern, emphasizing the
urgent need for early detection and intervention strategies. This review article aims to …

Unlocking the potential of XAI for improved alzheimer's disease detection and classification using a ViT-GRU model

SM Mahim, MS Ali, MO Hasan, AAN Nafi, A Sadat… - IEEE …, 2024 - ieeexplore.ieee.org
Alzheimer's Disease (AD) is a significant cause of dementia worldwide, and its progression
from mild to severe affects an individual's ability to perform daily activities independently …

SMLBT: secure machine learning and blockchain-based telemedicine model for the remote areas of develo** countries

M Biswas, A Shome, PP Mukherjee… - … Biology and Drug …, 2023 - inderscienceonline.com
A reliable data safety model is currently an urgent demand for the healthcare system across
the world, especially for people dwelling in rural areas, and this domain requires top-notch …

Towards a Digital Twin Integrated DLT and IoT-Based Automated Healthcare Ecosystem

PP Mukherjee, M Afroj, S Hossain, M Biswas - International Conference on …, 2022 - Springer
Abstract The concept of Digital Twin technology unlocks a higher potential for a sustainable
healthcare ecosystem, and disruptive technologies like Machine Intelligence, Blockchain …