Automatic Detection of Coronavirus Disease (COVID-19) in X-ray and CT Images: A Machine Learning Based ApproachResearch article Published on 2021-07-012022-10-05 Journal: Biocybernetics and Biomedical Engineering [Category] 치료기술, [키워드] abnormality Accuracy acute respiratory distress antiviral drug approach approved assist Automatic Canada chest X-ray Classifier clinically complications computer-aided diagnosis coronavirus disease COVID-19 Critical dataset deep learning detection Diagnosis diagnosis of COVID-19 dry cough feature Feature extraction Fever help Lung Opacity machine learning machine learning classifier MONITOR multi-organ failure pathogenic Pneumonia progression Pulmonary edema reduce mortality Septic shock sore throat subject Support symptoms of COVID-19 syndrome the disease transfer learning Treatment Vaccine while X-ray [DOI] 10.1016/j.bbe.2021.05.013 [Article Type] Research article
Automatic algorithm for quantifying lung involvement in patients with chronic obstructive pulmonary disease, infection with SARS-CoV-2, paracoccidioidomycosis and no lung disease patients만성 폐쇄성 폐질환, SARS-CoV-2 감염, 파라콕시디오이데스진균증 및 폐 질환이 없는 환자의 폐 침범을 정량화하기 위한 자동 알고리즘Research Article Published on 2021-06-102022-09-12 Journal: PLoS ONE [Category] MERS, SARS, 진단, [키워드] Algorithm applied approach Automatic chronic obstructive chronic obstructive pulmonary disease Computed tomography contribute demonstrated develop diagnosed different diseases emphysema Entire lung fibrosis Ground-glass opacities high resolution impairment Infection infection with SARS-CoV-2 inflammatory process lung Lung disease Lung diseases lung involvement obstructive pulmonary disease paracoccidioidomycosis Patient patients Physicians prognostic provide pulmonary disease pulmonary involvement quantification Result SARS-CoV-2 Support Total lung volume Volume [DOI] 10.1371/journal.pone.0251783 PMC 바로가기 [Article Type] Research Article
An optimized transfer learning-based approach for automatic diagnosis of COVID-19 from chest x-ray imagesBioinformatics Published on 2021-05-272022-10-29 Journal: PeerJ Computer Science [Category] COVID-19, [키워드] Algorithm approach AUC Automatic automatically Bacterial Chest classification CNN collected COVID-19 COVID-19 case COVID-19 patient COVID-19 testing dataset deep Deep convolutional neural network detect detection diagnose Diagnosis diagnosis of COVID-19 Dice eight foraging IMPROVE Loss optimization pandemic Pneumonia reached transfer transfer learning X-ray images [DOI] 10.7717/peerj-cs.555 PMC 바로가기 [Article Type] Bioinformatics
Classification of COVID-19 electrocardiograms by using hexaxial feature mapping and deep learningResearch Published on 2021-05-252022-10-27 Journal: BMC Medical Informatics and Decision Making [Category] COVID-19, [키워드] Accuracy approach Automatic automatically caused change classification CNN conducted Convolutional neural network Coronavirus disease 2019 COVID-19 dataset deep learning demonstrated diagnose Diagnosis diagnosis of COVID-19 diagnostic Diagnostic method Disadvantages early diagnosis ECG effective electrocardiogram evaluate feature generate GLCM healthcare professionals Hexaxial mapping IMPROVE matrix Myocardial infarction negative network Neural pandemic Paper-based ECG provide Result reveal source code [DOI] 10.1186/s12911-021-01521-x PMC 바로가기 [Article Type] Research
Classification of COVID-19 electrocardiograms by using hexaxial feature mapping and deep learningResearch Published on 2021-05-252022-10-27 Journal: BMC Medical Informatics and Decision Making [Category] Coronavirus, COVID-19, SARS, [키워드] Accuracy approach Automatic automatically caused change classification CNN conducted Convolutional neural network Coronavirus disease 2019 COVID-19 dataset deep learning demonstrated diagnose Diagnosis diagnosis of COVID-19 diagnostic Diagnostic method Disadvantages early diagnosis ECG effective electrocardiogram evaluate feature generate GLCM healthcare professionals Hexaxial mapping IMPROVE matrix Myocardial infarction negative network Neural pandemic Paper-based ECG provide Result reveal source code [DOI] 10.1186/s12911-021-01521-x PMC 바로가기 [Article Type] Research
Classification of COVID-19 electrocardiograms by using hexaxial feature mapping and deep learning6축 특징 매핑 및 딥 러닝을 사용한 코로나19 심전도 분류Research Published on 2021-05-252022-09-10 Journal: BMC Medical Informatics and Decision Making [Category] 치료기술, [키워드] Accuracy approach Automatic automatically caused change classification CNN conducted Convolutional neural network coronavirus disease Coronavirus disease 2019 COVID-19 dataset deep learning demonstrated diagnose Diagnosis diagnosis of COVID-19 diagnostic Diagnostic method Disadvantages early diagnosis ECG effective electrocardiogram evaluate experimental results feature generate GLCM Gray healthcare professionals Hexaxial mapping IMPROVE matrix Myocardial infarction negative network Neural pandemic Paper-based ECG provide Result reveal robustness source code source codes [DOI] 10.1186/s12911-021-01521-x PMC 바로가기 [Article Type] Research
A COVID-19 Pandemic Artificial Intelligence–Based System With Deep Learning Forecasting and Automatic Statistical Data Acquisition: Development and Implementation StudyOriginal Paper Published on 2021-05-202022-10-30 Journal: Journal of Medical Internet Research [Category] COVID-19, SARS, [키워드] Accuracy ARIMA artificial artificial intelligence Automatic average Canada caused center changes in confirmed COVID-19 case continuous measure Control country COVID-19 COVID-19 epidemic COVID-19 pandemic Data visualization database death deep deep learning demonstrated develop development Engineering Epidemic evaluate facilitate Forecasting globe heat map include information Johns Hopkins University learning Local machine learning MAE mean absolute error measure Measures memory objective offer outbreak Oxford pandemic Predictive reached response Result School Science South Korea statistical statistical analysis Support System the disease the United State Time series University of Oxford vaccination variations website were used World Health Organization [DOI] 10.2196/27806 PMC 바로가기 [Article Type] Original Paper
CIR-Based Device-Free People Counting via UWB SignalsCommunication Published on 2021-05-102022-10-29 Journal: Sensors (Basel, Switzerland) [Category] Coronavirus, SARS, [키워드] adopted applied Automatic channel impulse response Classifier counting COVID-19 Experimental result feature groups help hygiene include lockdown Masks monitoring systems outbreak people counting Probability reduce reducing RF sensing signal singular value decomposition social distancing Spread surgical UWB virus [DOI] 10.3390/s21093296 PMC 바로가기 [Article Type] Communication
A multi‐class COVID‐19 segmentation network with pyramid attention and edge loss in CT imagesOriginal Research Paper Published on 2021-05-042022-10-30 Journal: Iet Image Processing [Category] COVID-19, [키워드] Accuracy assist Automatic auxiliary coefficient consolidation contagiousness Convolution COVID‐19 dataset diagnose Diagnosis effective evaluated experiment feature ground glass opacities IMPROVE include Infection information interstitial lung Novel coronavirus outperform positive powerful tool promote severity similarity Symptom the disease [DOI] 10.1049/ipr2.12249 PMC 바로가기 [Article Type] Original Research Paper
Automatic detection of COVID-19 disease using U-Net architecture based fully convolutional networkResearch article Published on 2021-05-012022-10-05 Journal: Biomedical Signal Processing and Control [Category] 치료기술, [키워드] Accuracy acute respiratory syndrome affected Algorithm Analysis artificial Asymptomatic automated Automatic can be used caused chain China Clinicians computer coronavirus COVID-19 COVID-19 disease deep learning detection system develop disease early stage effective evaluated GitHub repository help indication intelligence Italian lack pandemic positive radiology reaction RT-PCR SARS-CoV-2 SARS-CoV-2 virus Sensitivity and specificity Society Symptom the disease U-Net architecture [DOI] 10.1016/j.bspc.2021.102518 [Article Type] Research article