Decentralized federated learning: Fundamentals, state of the art, frameworks, trends, and challenges
In recent years, Federated Learning (FL) has gained relevance in training collaborative
models without sharing sensitive data. Since its birth, Centralized FL (CFL) has been the …
models without sharing sensitive data. Since its birth, Centralized FL (CFL) has been the …
Survey of explainable AI techniques in healthcare
Artificial intelligence (AI) with deep learning models has been widely applied in numerous
domains, including medical imaging and healthcare tasks. In the medical field, any judgment …
domains, including medical imaging and healthcare tasks. In the medical field, any judgment …
Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans
Abstract Machine learning methods offer great promise for fast and accurate detection and
prognostication of coronavirus disease 2019 (COVID-19) from standard-of-care chest …
prognostication of coronavirus disease 2019 (COVID-19) from standard-of-care chest …
Classification of the COVID-19 infected patients using DenseNet201 based deep transfer learning
Deep learning models are widely used in the automatic analysis of radiological images.
These techniques can train the weights of networks on large datasets as well as fine tuning …
These techniques can train the weights of networks on large datasets as well as fine tuning …
[HTML][HTML] Deep-chest: Multi-classification deep learning model for diagnosing COVID-19, pneumonia, and lung cancer chest diseases
Abstract Corona Virus Disease (COVID-19) has been announced as a pandemic and is
spreading rapidly throughout the world. Early detection of COVID-19 may protect many …
spreading rapidly throughout the world. Early detection of COVID-19 may protect many …
Review of artificial intelligence techniques in imaging data acquisition, segmentation, and diagnosis for COVID-19
The pandemic of coronavirus disease 2019 (COVID-19) is spreading all over the world.
Medical imaging such as X-ray and computed tomography (CT) plays an essential role in …
Medical imaging such as X-ray and computed tomography (CT) plays an essential role in …
Inf-net: Automatic covid-19 lung infection segmentation from ct images
Coronavirus Disease 2019 (COVID-19) spread globally in early 2020, causing the world to
face an existential health crisis. Automated detection of lung infections from computed …
face an existential health crisis. Automated detection of lung infections from computed …
COVID-19 detection through transfer learning using multimodal imaging data
Detecting COVID-19 early may help in devising an appropriate treatment plan and disease
containment decisions. In this study, we demonstrate how transfer learning from deep …
containment decisions. In this study, we demonstrate how transfer learning from deep …
A deep learning algorithm using CT images to screen for Corona Virus Disease (COVID-19)
S Wang, B Kang, J Ma, X Zeng, M Xiao, J Guo, M Cai… - European …, 2021 - Springer
Abstract Objective The outbreak of Severe Acute Respiratory Syndrome Coronavirus 2
(SARS-COV-2) has caused more than 26 million cases of Corona virus disease (COVID-19) …
(SARS-COV-2) has caused more than 26 million cases of Corona virus disease (COVID-19) …
Blockchain-federated-learning and deep learning models for covid-19 detection using ct imaging
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 …
COVID-19 patients. The primary problem in diagnosing COVID-19 patients is the shortage …