Physical Distancing Device with Edge Computing for COVID-19 (PADDIE-C19)COVID-19(PADDIE-C19)에 대한 에지 컴퓨팅이 포함된 물리적 거리두기 장치Article Published on 2021-12-302022-09-10 Journal: Sensors (Basel, Switzerland) [Category] SARS, 치료기술, [키워드] accelerate Accuracy addition artificial artificial intelligence average caused close contact computer vision computing connection contact with COVID-19 COVID-19 dissemination COVID-19 infection Device dissemination edge edge computing effective Experimental result experimental results Face mask fluke frames per second greater hardware incidence of COVID-19 include intelligence less network network model Neural physical distance physical distancing prototype provide responses restrict speed temperature Thermometer [DOI] 10.3390/s22010279 PMC 바로가기 [Article Type] Article
COVID-Net CXR-S: Deep Convolutional Neural Network for Severity Assessment of COVID-19 Cases from Chest X-ray ImagesArticle Published on 2021-12-232022-10-31 Journal: Diagnostics [Category] COVID-19, [키워드] assessment caused Chest chest X-ray clinical decision clinician clinics Cohort computer vision conducted COVID-19 COVID-19 pandemic COVID-19 positive patients Critical CXR dataset deep Deep neural networks develop Experimental result Factor handling healthcare helping hospitals Image Infection Interpretation knowledge medical condition network Neural pandemic Patient patients with SARS-CoV-2 positive powerful tool radiologist researchers resources SARS-CoV-2 SARS-COV-2 infection severity Severity assessment significantly increased Spread Support the SARS-CoV-2 virus transfer while X-ray [DOI] 10.3390/diagnostics12010025 PMC 바로가기 [Article Type] Article
Fusion of multi-scale bag of deep visual words features of chest X-ray images to detect COVID-19 infectionCovid-19 감염을 감지하기위한 흉부 X- 레이 이미지의 깊은 시각 단어 특징의 다중 규모 백 융합Article Published on 2021-12-132022-09-01 Journal: Scientific Reports [Category] 진단, 치료기술, [키워드] Accuracy Algorithm capture CD1 CD2 CD3 CD4 chest X-ray Chest X-ray image Computational biology and bioinformatics Convolution COVID-19 disease COVID-19 infection CXR dataset deep deep learning detect Diagnosis evaluate Experimental result experimental results feature Features fusion information Lungs Medical research Region shown support vector machine SVM the lungs a X-ray [DOI] 10.1038/s41598-021-03287-8 PMC 바로가기 [Article Type] Article
A multitask transfer learning framework for the prediction of virus-human protein–protein interactionsMethodology Article Published on 2021-11-272022-10-27 Journal: BMC Bioinformatics [Category] COVID-19, [키워드] approach dataset datasets Diseases domain Experimental result Features help human cell Human PPI human protein Infection information Interaction interaction pattern knowledge mechanism morbidity and mortality Multitask mutation rate new virus Pathogenesis Probability Protein Protein embedding protein sequence protein sequences Protein–protein interaction protein–protein interactions protein–protein interaction receptor reproducibility Research Result statistically the SARS-CoV-2 virus transfer transfer learning Treatment understanding viral infection virus Virus-human PPI viruses [DOI] 10.1186/s12859-021-04484-y PMC 바로가기 [Article Type] Methodology Article
A multitask transfer learning framework for the prediction of virus-human protein–protein interactionsMethodology Article Published on 2021-11-272022-10-27 Journal: BMC Bioinformatics [Category] Coronavirus, COVID-19, Fulltext, MERS, SARS, [키워드] approach dataset datasets Diseases domain Experimental result Features help human cell Human PPI human protein Infection information Interaction interaction pattern knowledge mechanism morbidity and mortality Multitask mutation rate new virus Pathogenesis Probability Protein Protein embedding protein sequence protein sequences Protein–protein interaction protein–protein interactions protein–protein interaction receptor reproducibility Research Result statistically the SARS-CoV-2 virus transfer transfer learning Treatment understanding viral infection virus Virus-human PPI viruses [DOI] 10.1186/s12859-021-04484-y PMC 바로가기 [Article Type] Methodology Article
Segmentation of infected region in CT images of COVID-19 patients based on QC-HC U-netArticle Published on 2021-11-242022-10-29 Journal: Scientific Reports [Category] COVID-19, MERS, SARS, [키워드] automatically connection COVID-19 COVID-19 patient datasets determine Diagnosis expand Experimental result Features help Image processing IMPROVE Infection lung lung tumors machine learning MSD outbreak second Segmentation selected sensitivity specificity Spread the epidemic vanishing [DOI] 10.1038/s41598-021-01502-0 PMC 바로가기 [Article Type] Article
A coarse‐refine segmentation network for COVID‐19 CT imagesOriginal Research Paper Published on 2021-11-182022-10-30 Journal: Iet Image Processing [Category] COVID-19, [키워드] added cause COVID‐19 COVID‐19 patient COVID‐19 patients Critical diagnose effective Experimental result IMPROVE Infection novel coronavirus disease outperform predict progression public health receive Region Spread Structure Treatment [DOI] 10.1049/ipr2.12278 PMC 바로가기 [Article Type] Original Research Paper
A new composite approach for COVID-19 detection in X-ray images using deep featuresResearch article Published on 2021-11-012022-10-05 Journal: Applied Soft Computing [Category] 치료기술, [키워드] Accuracy Analysis approach China Combination Composite Computed tomography coronavirus COVID COVID 19 COVID-19 COVID-19 case COVID-19 detection in X-ray images Data processing dataset deep features detect disease Experimental result experiments feature Feature extraction feature fusion FFB Health include knowledge Metrics pandemic PCR Performance metrics performed Pre-trained models Precision problems recorded reported sensitivity serological specificity X-ray [DOI] 10.1016/j.asoc.2021.107669 [Article Type] Research article
COVID-19 Detection from X-ray Images using Multi-Kernel-Size Spatial-Channel Attention NetworkResearch article Published on 2021-11-012022-10-05 Journal: Sensors (Basel, Switzerland) [Category] 치료기술, [키워드] Accuracy Attention automatically Characteristics Chest X-ray image Chest X-ray images coronavirus COVID-19 COVID-19 patient COVID-19 positive patient database deep learning detect detection Diagnosis Early detection Experimental result first stage Health help identify Image IMPROVE initiative Isolation mechanism Multi-scale network novel coronavirus 2019 patchy Prevent Prognosis Spread stages the patient X-ray X-ray images [DOI] 10.1016/j.patcog.2021.108055 [Article Type] Research article
Accurate detection of COVID-19 patients based on distance biased Naïve Bayes (DBNB) classification strategyResearch article Published on 2021-11-012022-10-05 Journal: Sensors (Basel, Switzerland) [Category] 치료기술, [키워드] Accuracy binary classification COVID-19 COVID-19 infected patient COVID-19 patient COVID-19 patients detect diagnose diagnosing distance Early detection effective elect Evidence Experimental result feature Feature selection FS2 infected patient Infectious disease introduced IS2 module NB optimization outperform Particle Particle swarm problem reinforcement selected Selection shown Stage stages statistical the disease Wrapper [DOI] 10.1016/j.patcog.2021.108110 [Article Type] Research article