Multimodal covid network: Multimodal bespoke convolutional neural network architectures for COVID‐19 detection from chest X‐ray's and computerized tomography scans
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.22712
Abstract: AI‐based tools were developed in the existing works, which focused on one type of image data; either CXR's or computerized tomography (CT) scans for COVID‐19 prediction. There is a need for an AI‐based tool that… read more here.
Keywords: network; computerized tomography; tomography scans; mmcovid net ... See more keywords
Exploring the effect of image enhancement techniques on COVID-19 detection using chest X-ray images
Sign Up to like & getrecommendations! Published in 2021 at "Computers in Biology and Medicine"
DOI: 10.1016/j.compbiomed.2021.104319
Abstract: Computer-aided diagnosis for the reliable and fast detection of coronavirus disease (COVID-19) has become a necessity to prevent the spread of the virus during the pandemic to ease the burden on the healthcare system. Chest… read more here.
Keywords: covid detection; detection; cxr; enhancement ... See more keywords
Attention-based 3D CNN with residual connections for efficient ECG-based COVID-19 detection
Sign Up to like & getrecommendations! Published in 2022 at "Computers in Biology and Medicine"
DOI: 10.1016/j.compbiomed.2022.105335
Abstract: Background The world has been suffering from the COVID-19 pandemic since 2019. More than 5 million people have died. Pneumonia is caused by the COVID-19 virus, which can be diagnosed using chest X-ray and computed… read more here.
Keywords: ecg based; covid detection; based covid; residual connections ... See more keywords
Rational Design of CRISPR/Cas12a-RPA Based One-Pot COVID-19 Detection with Design of Experiments.
Sign Up to like & getrecommendations! Published in 2022 at "ACS synthetic biology"
DOI: 10.1021/acssynbio.1c00617
Abstract: Simple and effective molecular diagnostic methods have gained importance due to the devastating effects of the COVID-19 pandemic. Various isothermal one-pot COVID-19 detection methods have been proposed as favorable alternatives to standard RT-qPCR methods as… read more here.
Keywords: covid detection; pot; one pot; pot covid ... See more keywords
COVID-19 detection using AIE-active iridium complexes.
Sign Up to like & getrecommendations! Published in 2023 at "Dalton transactions"
DOI: 10.1039/d2dt03554e
Abstract: The highly contagious COVID-19, caused by the outbreak of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is commonly diagnosed using reverse transcription polymerase chain reaction (RT-PCR). However, despite being highly sensitive, RT-PCR is also time… read more here.
Keywords: iridium; iridium complexes; detection using; sars cov ... See more keywords
Enabling CT-Scans for covid detection using transfer learning-based neural networks
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Biomolecular Structure and Dynamics"
DOI: 10.1080/07391102.2022.2034668
Abstract: Abstract Today, we are coping with the pandemic, and the novel virus is covertly evolving day by day. Therefore, a precautionary system to deal with the issue is required as early as possible. The last… read more here.
Keywords: using transfer; scans covid; transfer learning; enabling scans ... See more keywords
A feasibility study of Covid-19 detection using breath analysis by high-pressure photon ionization time-of-flight mass spectrometry
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Breath Research"
DOI: 10.1088/1752-7163/ac8ea1
Abstract: Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) has caused a tremendous threat to global health. polymerase chain reaction (PCR) and antigen testing have played a prominent role in the detection of SARS-CoV-2-infected individuals and disease control.… read more here.
Keywords: photon ionization; breath; pressure photon; detection ... See more keywords
Rapidly adapted community health strategies to prevent treatment interruption and improve COVID-19 detection for Syrian refugees and the host population with hypertension and diabetes in Jordan.
Sign Up to like & getrecommendations! Published in 2022 at "International health"
DOI: 10.1093/inthealth/ihac083
Abstract: BACKGROUND We evaluated community health volunteer (CHV) strategies to prevent non-communicable disease (NCD) care disruption and promote coronavirus disease 2019 (COVID-19) detection among Syrian refugees and vulnerable Jordanians, as the pandemic started. METHODS Alongside medication… read more here.
Keywords: syrian refugees; health; strategies prevent; community health ... See more keywords
COVID-19 Detection Through Transfer Learning Using Multimodal Imaging Data
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3016780
Abstract: 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 learning models can be used to perform COVID-19 detection using… read more here.
Keywords: transfer learning; learning models; covid detection; image ... See more keywords
DL-CRC: Deep Learning-Based Chest Radiograph Classification for COVID-19 Detection: A Novel Approach
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3025010
Abstract: With the exponentially growing COVID-19 (coronavirus disease 2019) pandemic, clinicians continue to seek accurate and rapid diagnosis methods in addition to virus and antibody testing modalities. Because radiographs such as X-rays and computed tomography (CT)… read more here.
Keywords: crc; radiograph; covid detection; covid ... See more keywords
Decentralised Federated Learning for Hospital Networks With Application to COVID-19 Detection
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3202922
Abstract: Federated Learning (FL) is a distributed machine learning technique which enables local learning of global machine learning models without the need of exchanging data. The original FL algorithm, Federated Averaging (FedAvg), is extended in this… read more here.
Keywords: learning hospital; federated learning; decentralised federated; covid detection ... See more keywords