Deep Learning and Federated Learning for Screening COVID-19: A Review

MRH Mondal, S Bharati, P Podder, J Kamruzzaman - BioMedInformatics, 2023 - mdpi.com
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 …

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 …

Conditional cascaded network (CCN) approach for diagnosis of COVID-19 in chest X-ray and CT images using transfer learning

AEE Rashed, WM Bahgat - Biomedical Signal Processing and Control, 2024 - Elsevier
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 …

Small size CNN-Based COVID-19 Disease Prediction System using CT scan images on PaaS cloud

MG Lanjewar, KG Panchbhai, P Charanarur - Multimedia Tools and …, 2024 - Springer
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 …

Intelligent explainable optical sensing on Internet of nanorobots for disease detection

N Mesgaribarzi, Y Djenouri, AN Belbachir… - Nanotechnology …, 2024 - degruyter.com
Combining deep learning (DL) with nanotechnology holds promise for transforming key
facets of nanoscience and technology. This synergy could pave the way for groundbreaking …

COVID-19 Detection Ensemble Analysis with Advanced Feature Descriptors (CODEX-AFD) Using Machine Learning Techniques

R Geethamani, A Ranichitra - SN Computer Science, 2024 - Springer
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 …

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 …

Unveiling Diagnostic Precision: Evaluating Machine Learning and Deep Learning Approaches for Pneumonia Recognition of COVID-19 Patients Using Chest X-Rays

NN Rahman, R Rahman, N Jahan… - Data-Driven Clinical …, 2024 - Springer
Abstract Machine Learning (ML) and Deep Learning (DL) have become indispensable for
medical image analysis due to their capacity to extract meaningful information from large …

[PDF][PDF] Deep Hybrid Learning Approaches for COVID-19 Virus Detection Using Chest X-ray Images.

M Alohali - … Journal of Advanced Computer Science & …, 2024 - saiconferences.com
This paper introduces a novel deep learning framework for highly accurate COVID-19
detection using chest X-ray images. The proposed model tackles the challenge by …

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 …