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[HTML][HTML] Deep Learning and Federated Learning for Screening COVID-19: A Review
Since December 2019, a novel coronavirus disease (COVID-19) has infected millions of
individuals. This paper conducts a thorough study of the use of deep learning (DL) and …
individuals. This paper conducts a thorough study of the use of deep learning (DL) and …
Label-free electrochemical immunosensor employing new redox probes/porous organic polymers/graphene oxide nanocomposite towards multiplex detection of three …
P Yaiwong, S Wiratchan, N Semakul… - Materials Today …, 2024 - Elsevier
Since an outbreak of severe acute respiratory disease caused by coronavirus 2 (SARS-CoV-
2) in the province of Wuhan, China, coronavirus disease 2019 (COVID-19) has …
2) in the province of Wuhan, China, coronavirus disease 2019 (COVID-19) has …
Small size CNN-Based COVID-19 Disease Prediction System using CT scan images on PaaS cloud
COVID-19 is a highly contagious disease that can quickly spread and overwhelm healthcare
systems if not controlled in time. Reverse Transcription Polymerase Chain Reaction (RT …
systems if not controlled in time. Reverse Transcription Polymerase Chain Reaction (RT …
Conditional cascaded network (CCN) approach for diagnosis of COVID-19 in chest X-ray and CT images using transfer learning
The COVID-19 pandemic has caused substantial global health and economic damage, with
over five million confirmed cases worldwide. The importance of the rapid, accurate diagnosis …
over five million confirmed cases worldwide. The importance of the rapid, accurate diagnosis …
Web Diagnosis for COVID-19 and Pneumonia Based on Computed Tomography Scans and X-rays
C Antunes, JMF Rodrigues, A Cunha - International Conference on Human …, 2024 - Springer
Pneumonia and COVID-19 are respiratory illnesses, the last caused by the severe acute
respiratory syndrome virus, coronavirus 2 (SARS-CoV-2). Traditional detection processes …
respiratory syndrome virus, coronavirus 2 (SARS-CoV-2). Traditional detection processes …
Cn2a-capsnet: a capsule network and CNN-attention based method for COVID-19 chest X-ray image diagnosis
H Zhang, Z Lv, S Liu, Z Sang, Z Zhang - Discover Applied Sciences, 2024 - Springer
Due to its high infectivity, COVID-19 has rapidly spread worldwide, emerging as one of the
most severe and urgent diseases faced by the global community in recent years. Currently …
most severe and urgent diseases faced by the global community in recent years. Currently …
COVID-19 Detection Ensemble Analysis with Advanced Feature Descriptors (CODEX-AFD) Using Machine Learning Techniques
Infectious diseases like Covid-19 continue to pose a significant global health risk, with the
potential to cause widespread pandemics. Precise prediction and detection of Covid-19 …
potential to cause widespread pandemics. Precise prediction and detection of Covid-19 …
Intelligent explainable optical sensing on Internet of nanorobots for disease detection
Combining deep learning (DL) with nanotechnology holds promise for transforming key
facets of nanoscience and technology. This synergy could pave the way for groundbreaking …
facets of nanoscience and technology. This synergy could pave the way for groundbreaking …
Classification of Covid-19 Chest X-Ray Patients using Artificial Neural Network
Z Saad, WMAW Ismafariza… - 2023 10th International …, 2023 - ieeexplore.ieee.org
In recent years, there has been an increase in the COVID-19 outbreak, which appears to be
worsening significantly due to the shortage of rapid testing kits. As a result, it is critical to …
worsening significantly due to the shortage of rapid testing kits. As a result, it is critical to …
[HTML][HTML] Comparative Analysis on Available Technique for the Detection of Covid-19 through CT-Scan and X-Ray using Machine Learning: A Systematic Review
(1) Background: In the year of 2020 Covid-19 was declared epidemic by WHO. From that
time millions of people were affected and died by this disease. The main detection process …
time millions of people were affected and died by this disease. The main detection process …