Federated learning for medical image analysis with deep neural networks
S Nazir, M Kaleem - Diagnostics, 2023 - mdpi.com
Medical image analysis using deep neural networks (DNN) has demonstrated state-of-the-
art performance in image classification and segmentation tasks, aiding disease diagnosis …
art performance in image classification and segmentation tasks, aiding disease diagnosis …
Review of federated learning and machine learning-based methods for medical image analysis
N Hernandez-Cruz, P Saha… - Big Data and …, 2024 - search.proquest.com
Federated learning is an emerging technology that enables the decentralised training of
machine learning-based methods for medical image analysis across multiple sites while …
machine learning-based methods for medical image analysis across multiple sites while …
Blockchain-based personalized federated learning for internet of medical things
The rapid growth of artificial intelligence (AI), blockchain technology, and edge computing
services have enabled the Internet of Medical Things (IoMT) to provide various healthcare …
services have enabled the Internet of Medical Things (IoMT) to provide various healthcare …
Federated learning approach for early detection of chest lesion caused by COVID-19 infection using particle swarm optimization
DR Kandati, TR Gadekallu - Electronics, 2023 - mdpi.com
The chest lesion caused by COVID-19 infection pandemic is threatening the lives and well-
being of people all over the world. Artificial intelligence (AI)-based strategies are efficient …
being of people all over the world. Artificial intelligence (AI)-based strategies are efficient …
Federated learning with deep convolutional neural networks for the detection of multiple chest diseases using chest x-rays
The increasing global incidence of COVID-19 necessitates the rapid development of a
reliable method for diagnosing the disease. The virus is spreading so quickly, that medical …
reliable method for diagnosing the disease. The virus is spreading so quickly, that medical …
DMFL_Net: A federated learning-based framework for the classification of COVID-19 from multiple chest diseases using X-rays
Coronavirus Disease 2019 (COVID-19) is still a threat to global health and safety, and it is
anticipated that deep learning (DL) will be the most effective way of detecting COVID-19 and …
anticipated that deep learning (DL) will be the most effective way of detecting COVID-19 and …
Federated learning as a smart tool for research on infectious diseases
LC Zwiers, DE Grobbee, A Uijl, DSY Ong - BMC Infectious Diseases, 2024 - Springer
Background The use of real-world data has become increasingly popular, also in the field of
infectious disease (ID), particularly since the COVID-19 pandemic emerged. While much …
infectious disease (ID), particularly since the COVID-19 pandemic emerged. While much …
Edge intelligence-assisted smart healthcare solution for health pandemic: a federated environment approach
Deep Learning (DL) has emerged as the most effective approach for COVID-19 detection,
but privacy concerns hinder its performance due to limited data sharing by medical …
but privacy concerns hinder its performance due to limited data sharing by medical …
Leveraging artificial intelligence in blockchain-based e-health for safer decision making framework
Machine learning-based (ML) systems are becoming the primary means of achieving the
highest levels of productivity and effectiveness. Incorporating other advanced technologies …
highest levels of productivity and effectiveness. Incorporating other advanced technologies …
[HTML][HTML] Non-IID Medical Imaging Data on COVID-19 in the Federated Learning Framework: Impact and Directions
FS Alhafiz, AA Basuhail - COVID, 2024 - mdpi.com
After first appearing in December 2019, coronavirus disease 2019 (COVID-19) spread
rapidly, leading to global effects and significant risks to health systems. The virus's high …
rapidly, leading to global effects and significant risks to health systems. The virus's high …