[HTML][HTML] Fled-block: Federated learning ensembled deep learning blockchain model for covid-19 prediction

R Durga, E Poovammal - Frontiers in Public Health, 2022 - frontiersin.org
With the SARS-CoV-2's exponential growth, intelligent and constructive practice is required
to diagnose the COVID-19. The rapid spread of the virus and the shortage of reliable testing …

Blockchain-federated-learning and deep learning models for covid-19 detection using ct imaging

R Kumar, AA Khan, J Kumar, NA Golilarz… - IEEE Sensors …, 2021 - ieeexplore.ieee.org
With the increase of COVID-19 cases worldwide, an effective way is required to diagnose
COVID-19 patients. The primary problem in diagnosing COVID-19 patients is the shortage …

A privacy-aware method for COVID-19 detection in chest CT images using lightweight deep conventional neural network and blockchain

A Heidari, S Toumaj, NJ Navimipour, M Unal - Computers in Biology and …, 2022 - Elsevier
With the global spread of the COVID-19 epidemic, a reliable method is required for
identifying COVID-19 victims. The biggest issue in detecting the virus is a lack of testing kits …

Protecting personal healthcare record using blockchain & federated learning technologies

S Aich, NK Sinai, S Kumar, M Ali… - 2022 24th …, 2022 - ieeexplore.ieee.org
For decades artificial intelligence (AI) has been used for various applications in the
healthcare industry. Machine learning and artificial intelligence algorithms allow us to …

[HTML][HTML] Blockchain-federated and deep-learning-based ensembling of capsule network with incremental extreme learning machines for classification of COVID-19 …

H Malik, T Anees, A Naeem, RA Naqvi, WK Loh - Bioengineering, 2023 - mdpi.com
Due to the rapid rate of SARS-CoV-2 dissemination, a conversant and effective strategy
must be employed to isolate COVID-19. When it comes to determining the identity of COVID …

A blockchain-based federated learning mechanism for privacy preservation of healthcare IoT data

W Moulahi, I Jdey, T Moulahi, M Alawida… - Computers in Biology …, 2023 - Elsevier
The Corona virus outbreak sped up the process of digitalizing healthcare. The ubiquity of IoT
devices in healthcare has thrust the Healthcare Internet of Things (HIoT) to the forefront as a …

An integration of blockchain and AI for secure data sharing and detection of CT images for the hospitals

R Kumar, WY Wang, J Kumar, T Yang, A Khan… - … Medical Imaging and …, 2021 - Elsevier
Deep learning, for image data processing, has been widely used to solve a variety of
problems related to medical practices. However, researchers are constantly struggling to …

[HTML][HTML] A secure healthcare 5.0 system based on blockchain technology entangled with federated learning technique

A Rehman, S Abbas, MA Khan, TM Ghazal… - Computers in Biology …, 2022 - Elsevier
In recent years, the global Internet of Medical Things (IoMT) industry has evolved at a
tremendous speed. Security and privacy are key concerns on the IoMT, owing to the huge …

IoMT: A COVID-19 healthcare system driven by federated learning and blockchain

O Samuel, AB Omojo, AM Onuja… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
Internet of medical things (IoMT) has made it possible to collect applications and medical
devices to improve healthcare information technology. Since the advent of the pandemic of …

A new lung cancer detection method based on the chest CT images using Federated Learning and blockchain systems

A Heidari, D Javaheri, S Toumaj, NJ Navimipour… - Artificial Intelligence in …, 2023 - Elsevier
With an estimated five million fatal cases each year, lung cancer is one of the significant
causes of death worldwide. Lung diseases can be diagnosed with a Computed Tomography …