X-ray and CT-scan-based automated detection and classification of covid-19 using convolutional neural networks (CNN)Research article Published on 2021-08-012022-10-05 Journal: Biomedical Signal Processing and Control [Category] 치료기술, [키워드] Accuracy assist automated automatically binary classification CNN Computed tomography coronavirus disease-2019 Critical dataset deep learning detect disease Fatality rate Healthcare system healthcare worker healthy identify infected individual lockdown network Neural pandemic Patient Pneumonia positive patients Precision produced recall Research ROC sensitivity utilised virus while WHO World Health Organization X-ray [DOI] 10.1016/j.bspc.2021.102920 [Article Type] Research article
COVID-19 cough classification using machine learning and global smartphone recordingsResearch article Published on 2021-08-012022-10-05 Journal: Computers in biology and medicine [Category] 유전자 메커니즘, [키워드] addressed approach AUC Classifier CNN convolutional neural network (CNN) cough Cough classification coughs COVID-19 COVID-19 negative dataset evaluate exhibited feature healthy healthy subjects identify include K-nearest neighbour (KNN) Laboratory limit Logistic regression Logistic regression (LR) long short-term memory (LSTM) machine learning memory Multilayer perceptron (MLP) oversampling positive recorded reduce ResNet50 ROC Curve SARS-CoV Self-isolation Seven SFS South Africa subject Support Support vector machine (SVM) SVM the healthy Transmission was collected was used [DOI] 10.1016/j.compbiomed.2021.104572 [Article Type] Research article
Deep insight: Convolutional neural network and its applications for COVID-19 prognosisReview article Published on 2021-08-012022-10-05 Journal: Biomedical Signal Processing and Control [Category] 유전자 메커니즘, 치료기술, [키워드] Activation adopted applicability Applications challenges characterized China CNN Community Contact tracing contagious Convolutional neural network coronavirus disease country COVID-19 COVID-19 pandemic COVID-19 prognosis curtail deaths deep deep learning develop effective Epidemics Evidence functions globe help highlight Human limitations manual intervention medication Mortality notable pandemic pathogenic Performance metrics positive Practitioner Prognosis Radiographic recognize Research researcher respiratory viral infection Result SARS-CoV-2 shown significantly Spread Treatment variants World Health Organisation Wuhan [DOI] 10.1016/j.bspc.2021.102814 [Article Type] Review article
Choquet fuzzy integral-based classifier ensemble technique for COVID-19 detectionResearch article Published on 2021-08-012022-10-05 Journal: Computers in biology and medicine [Category] 치료기술, [키워드] Accuracy Analysis average base classifiers Chest X-ray image Choquet integral Classifier CNN Community competent computer scientist COVID-19 COVID-19 case COVID-19 outbreak dataset datasets death deep learning determine Ensemble method evaluated f-score feature Final Github global pandemic healthy infected patient Kaggle Lungs machine learning Patient Precision predicted provide quarantine recall Repository Spread trained model transfer transfer learning vaccination X-ray image [DOI] 10.1016/j.compbiomed.2021.104585 [Article Type] Research article
Quantum algorithm for quicker clinical prognostic analysis: an application and experimental study using CT scan images of COVID-19 patientsResearch Article Published on 2021-07-302022-10-27 Journal: BMC Medical Informatics and Decision Making [Category] Coronavirus, SARS, [키워드] Accuracy Algorithm artificial intelligence average Clinical practice CNN complex conducted COVID-19 COVID-19 patient CT scan deep learning diagnosing Diagnosis disease Efficacy Efficiency evaluate exhibiting faster GPU Healthcare system implementation India machine learning Machine learning algorithms Medical imaging and analysis Medical informatics outperform Pneumonia problems prognostic quantum Quantum neural networks recall required Research Result Sample size Stress tomography Treatment [DOI] 10.1186/s12911-021-01588-6 PMC 바로가기 [Article Type] Research Article
COVID-Nets: deep CNN architectures for detecting COVID-19 using chest CT scansBioinformatics Published on 2021-07-292022-10-29 Journal: PeerJ Computer Science [Category] COVID-19, [키워드] Accuracy AUC automated Automated diagnosis baseline binary classification boost chest CT scan CNN Computed tomography COVID-19 COVID-19 detection CT-scan dataset deep learning diagnose diagnostic Effectiveness healthy healthy samples lack Multi-class classification Non-COVID-19 Precision SARS-CoV-2 sensitivity significantly specificity subject the SARS-CoV-2 transfer viral infections Viral pneumonia [DOI] 10.7717/peerj-cs.655 PMC 바로가기 [Article Type] Bioinformatics
Automatic COVID-19 Detection Using Exemplar Hybrid Deep Features with X-ray ImagesX선 이미지와 함께 예시적인 하이브리드 심층 기능을 사용한 자동 COVID-19 감지Article Published on 2021-07-292022-09-10 Journal: International Journal of Environmental Research an [Category] SARS, 치료기술, [키워드] Accuracy applied Automatic best classification Classifier CNN CNNs Convolutional neural networks COVID-19 COVID-19 detection database datasets deep deep feature generation detect detection detection system Exemplar COVID-19FclNet9 feature Features fused generate healthcare hybrid Image iterative iterative NCA Medical imaging nine Pneumonia Research respiratory respiratory disorder respiratory disorders selected Support support vector machine SVM Topic transfer learning X-ray [DOI] 10.3390/ijerph18158052 PMC 바로가기 [Article Type] Article
An ensemble learning approach to digital corona virus preliminary screening from cough sounds기침 소리로부터 디지털 코로나 바이러스 예비 선별에 대한 앙상블 학습 접근법Article Published on 2021-07-282022-09-10 Journal: Scientific Reports [Category] SARS, 치료기술, [키워드] Accuracy analyses approach Classifier CNN Convolutional neural network cough coughs COVID-19 COVID-19 sample COVID-19 samples dataset demonstrated develop distribution experiment healthy machine learning network Neural open oversampling Population screening recall receiver operating characteristics robust segment Segmentation splitting virus [DOI] 10.1038/s41598-021-95042-2 PMC 바로가기 [Article Type] Article
Combining a convolutional neural network with autoencoders to predict the survival chance of COVID-19 patientsCOVID-19 환자의 생존 확률을 예측하기 위해 컨볼 루션 신경 네트워크와 자동 인코더와 결합Article Published on 2021-07-282022-09-01 Journal: Scientific Reports [Category] SARS, 바이오마커, 진단, 치료기술, [키워드] Accuracy AEs analysed appear Automation average balance blood pressure can be used caused Clinical data clinical information CNN CNNs collected Convolutional neural network Convolutional neural networks correlation correlations COVID COVID-19 COVID-19 patient COVID-19 patients dataset datasets death Diagnosis Diseases evaluated experimental results feature Features Infectious diseases Liver disease mortality risk predict required resource Risk factors shown survival virus [DOI] 10.1038/s41598-021-93543-8 PMC 바로가기 [Article Type] Article
3D CNN classification model for accurate diagnosis of coronavirus disease 2019 using computed tomography imagesDigital Pathology Published on 2021-07-232022-10-30 Journal: Journal of Medical Imaging [Category] COVID-19, [키워드] Accuracy Care characteristic China classification network CNN Complete Computed tomography computer tomography controls coronavirus disease COVID-19 cumulative database dataset death deep learning Diagnosis Early detection Effect Healthcare system help highest identify Image investigated investigation knowledge Patient physician Pneumonia Precision provided Radiography radiologist recall uninfected Volume [DOI] 10.1117/1.JMI.8.S1.017502 PMC 바로가기 [Article Type] Digital Pathology