CT-based severity assessment for COVID-19 using weakly supervised non-local CNNResearch article Published on 2022-05-012022-10-05 Journal: Applied Soft Computing [Category] 바이오마커, [키워드] 3D CNN absolute difference accelerated approach artificial Clinical data CNN consolidation COVID-19 COVID-19 severity Critical CT scan dataset deep learning displaying Evaluating explicit feature Features ground-glass opacity Guidance Infection intelligence labeling learning manifestation mechanism modulation Non-local attention Patient prognostic resulting severity Squeeze treatment protocols Variability [DOI] 10.1016/j.asoc.2022.108765 [Article Type] Research article
Forecasting COVID-19 new cases using deep learning methodsResearch article Published on 2022-05-012022-10-05 Journal: Computers in biology and medicine [Category] COVID19(2023년), SARS, 변종, [키워드] Accuracy addition affected applied Brazil CNN COVID-19 COVID-19 case dataset deep learning Deep Learning Method Forecasting globe Health highest improvement India Infected Population mathematical pandemic Patient predict public health Research Russia SARS-CoV-2 SARS-CoV-2 virus Support Transmission virus virus mutation [DOI] 10.1016/j.compbiomed.2022.105342 [Article Type] Research article
Deep multi-view feature learning for detecting COVID-19 based on chest X-ray imagesResearch article Published on 2022-05-012022-10-05 Journal: Biomedical Signal Processing and Control [Category] 치료기술, [키워드] abnormality Accuracy assist Chest X-ray image CNN Community complementary contagious COVID-19 COVID-19 case COVID-19 patients deep deep learning disease early diagnosis Effectiveness experiment extreme learning machine f-score feature Features Health high accuracy Infectious disease information Multi-view learning pandemic Pneumonia Precision provide Result sensitivity specificity Spread X-ray [DOI] 10.1016/j.bspc.2022.103595 [Article Type] Research article
Contour-enhanced attention CNN for CT-based COVID-19 segmentationResearch article Published on 2022-05-012022-10-05 Journal: Sensors (Basel, Switzerland) [Category] 치료기술, [키워드] Attention Automatic chest CT scan clinical care CNN Context coronavirus COVID-19 datasets Decoder deep learning effective evaluated feature fusion healthcare High-resolution information Morphological pandemic recall Research Segmentation similarity tissue [DOI] 10.1016/j.patcog.2022.108538 [Article Type] Research article
An automated diagnosis and classification of COVID-19 from chest CT images using a transfer learning-based convolutional neural network전이학습 기반 합성곱 신경망을 이용한 흉부 CT 영상에서 코로나19 자동 진단 및 분류Article Published on 2022-05-012022-09-11 Journal: Computers in biology and medicine [Category] COVID19(2023년), SARS, 변종, 치료기술, [키워드] absence Accuracy addition Algorithm authors analyzed automated Chest CT image CNN Convolutional neural network convolutional neural network (CNN) COVID COVID-19 COVID-19 case COVID-19 cases CT scan dataset datasets deep deep learning Deep learning (DL) diagnose Diagnosis dynamic ENhance experiments faster framework Healthcare professional help LIGHT lung Lung CT scans metaheuristic Metaheuristic optimization network Neural radiologist Radiologists Result second Sparrow Sparrow search algorithm. SSA transfer widespread [DOI] 10.1016/j.compbiomed.2022.105383 PMC 바로가기 [Article Type] Article
Efficacy of Transfer Learning-based ResNet models in Chest X-ray image classification for detecting COVID-19 PneumoniaResearch article Published on 2022-05-012022-10-05 Journal: Chemometrics and Intelligent Laboratory Systems [Category] 진단, 치료기술, [키워드] Accuracy Analysis approach assist automatic detection build carried CNN complex computer COVID-19 COVID-19 diagnosis COVID-19 infection CPU CXR dataset datasets deep deep learning diagnostic dominant early diagnosis effective Effectiveness epidemiological evaluate facilitate FIVE fraction GPU highest individuals with COVID-19 Laboratory laboratory data laboratory measure learning network Neural PCR polymerase chain Precision problems Resnet ResNet model sensitivity specificity stages Symptom tissues transfer learning variant vision X-ray [DOI] 10.1016/j.chemolab.2022.104534 [Article Type] Research article
Multi-classification deep CNN model for diagnosing COVID-19 using iterative neighborhood component analysis and iterative ReliefF feature selection techniques with X-ray imagesResearch article Published on 2022-05-012022-10-05 Journal: Chemometrics and Intelligent Laboratory Systems [Category] 치료기술, [키워드] Accuracy acute respiratory syndrome affected Analysis analyzed applied automatically CNN component Convolutional neural networks CNN coronavirus COVID-19 criteria dataset death rate determine diagnosing Diagnosis disease disease status experiment f-score facilitate faster Feature selection Health highest IMPROVE include indicated IRF iterative Iterative neighborhood component analysis Iterative ReliefF lung material MCC neighborhood network Neural normal Patient performed Precision Predictive radiologist Result SARS-CoV-2 sensitivity specificity Spread virus X-ray [DOI] 10.1016/j.chemolab.2022.104539 [Article Type] Research article
An efficient hardware architecture based on an ensemble of deep learning models for COVID -19 predictionResearch article Published on 2022-05-012022-10-05 Journal: Sustainable Cities and Society [Category] 치료기술, [키워드] Accuracy Analysis chest X-ray CNN computation computational resource COVID COVID-19 CXR Data-aware computational unit deep deep learning Diagnosis Effectiveness Ensemble identify inception latency Latency of CNN network Neural performance Pre-training Precision problems recall Recurrent reduction in resource Semiconductor Taiwan TSMC Verilog [DOI] 10.1016/j.scs.2022.103713 [Article Type] Research article
Machine Learning, Deep Learning, and Mathematical Models to Analyze Forecasting and Epidemiology of COVID-19: A Systematic Literature ReviewCOVID-19의 예측 및 역학 분석을 위한 머신 러닝, 딥 러닝 및 수학적 모델: 체계적인 문헌 검토Review Published on 2022-04-222022-09-11 Journal: International Journal of Environmental Research an [Category] COVID19(2023년), SARS, 치료기술, [키워드] agency Algorithm Algorithms article automatic detection basic reproduction rate battle caused classification CNN compartmental model COVID-19 criteria current deep deep learning disease Epidemic epidemiological Epidemiology epidemiology of COVID-19 estimate feature first stage Forecasting generate Health Organization healthcare Healthcare industry healthy highlight item Laboratory learning life literature machine learning mathematical Mathematical models medical staff meta-analyses Model PRISMA PROTECT recorded reduce Reporting Reproduction rate Research researcher review SARS-CoV-2 selected shown Spread spread of COVID-19 SVM systematic reviews the epidemic World Health Organization worldwide pandemic Wuhan Wuhan, China [DOI] 10.3390/ijerph19095099 PMC 바로가기 [Article Type] Review
Efficient Framework for Detection of COVID-19 Omicron and Delta Variants Based on Two Intelligent Phases of CNN ModelsCNN 모델의 두 가지 지능형 단계를 기반으로 하는 COVID-19 오미크론 및 델타 변이체 감지를 위한 효율적인 프레임워크Article Published on 2022-04-212022-09-11 Journal: Computational and Mathematical Methods in Medicine [Category] COVID19(2023년), SARS, 변종, 치료기술, [키워드] Accuracy Algorithm Asia assist caused CNN collapse complex Convolutional neural network COVID-19 COVID-19 diagnosis COVID-19 pandemic CT scan CT scans deep learning Delta delta variant Delta variants detection Detection sensitivity diagnostic Diagnostic method diagnostic methods diagnostic testing dramatic increase early stage early stages efficient evaluated faster feature framework health-care identify less Middle East Model non-COVID-19 case non-COVID-19 cases omicron Pandemics parameter patients phase radiologist Radiologists researcher significantly specificity test dataset the disease transfer variant were used while X-ray [DOI] 10.1155/2022/4838009 PMC 바로가기 [Article Type] Article