A multi-task CNN learning model for taxonomic assignment of human viruses인간 바이러스의 분류 학적 할당을위한 멀티 태스킹 CNN 학습 모델Software Published on 2021-06-022022-09-10 Journal: BMC Bioinformatics [Category] 유전자 메커니즘, [키워드] alignment approach assigned Bayesian Bayesian approach Bowtie Centrifuge CNN Convolutional neural network Coverage current dataset deep learning estimation Genome genomic Genomic coverage genomic region Github HIV-1 identify K -mer Kraken Kraken 2 likelihood Naïve Bayesian network naïve Pathogens performed proportion ranking reads Result RNA sequencing SARS-CoV-2 virus sequence sequences sequencing read sequencing reads significantly supplementary material Taxonomic Taxonomic assignment Viral viral pathogens virus viruses were used [DOI] 10.1186/s12859-021-04084-w PMC 바로가기 [Article Type] Software
Automated Detection of Covid-19 from Chest X-ray scans using an optimized CNN architectureResearch article Published on 2021-06-012022-10-05 Journal: Applied Soft Computing [Category] 치료기술, [키워드] Accuracy adopted affected affecting Algorithm Analysis analyzed automated auxiliary chest X-ray classification clinical setting Clinicians CNN code contribute Correcting COVID-19 dataset detection Diagnosis diagnostic diagnostic capability disease ECOC Ensemble facilitate faster global pandemic Grey GWO healthcare professionals information initial initiated Isolation lack meet network Neural Novel coronavirus optimization output pandemic parameter patients perceptron public health radiologist recent finding Research sensitivity testing Spread SVM Treatment Viral pneumonia virus was obtained Whale WOA Wolf X-ray [DOI] 10.1016/j.asoc.2021.107238 [Article Type] Research article
CovidXrayNet: Optimizing data augmentation and CNN hyperparameters for improved COVID-19 detection from CXRCovidXrayNet: CXR의 향상된 COVID-19 탐지를 위해 데이터 증강 및 CNN 하이퍼파라미터 최적화Article Published on 2021-06-012022-09-11 Journal: Computers in biology and medicine [Category] SARS, 진단, 치료기술, [키워드] Accuracy artificial artificial intelligence chest X-ray CNN Convolutional neural network coronavirus disease Coronavirus disease 2019 COVID-19 COVIDx CXR data augmentation dataset datasets diagnostic effective evaluated experiment group Hyperparameters. increase infected patient infected patients intelligence mitigate network Neural pandemic Pneumonia radiological residual Spread treated Visual [DOI] 10.1016/j.compbiomed.2021.104375 PMC 바로가기 [Article Type] 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
ECOVNet: a highly effective ensemble based deep learning model for detecting COVID-19Bioinformatics Published on 2021-05-262022-10-29 Journal: PeerJ Computer Science [Category] COVID-19, [키워드] Accuracy addition applied approach automated Chest chest X-ray CNN component Convolutional neural network COVID-19 COVID-19 disease COVIDx data set deep learning detect detection detection system develop effective EfficientNet ENhance Ensemble feature highlight IMPROVE network Neural outperform Pneumonia recall Research robust significantly transferred [DOI] 10.7717/peerj-cs.551 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
Machine learning-based cytokine microarray digital immunoassay analysis머신러닝 기반 사이토카인 마이크로어레이 디지털 면역분석Article Published on 2021-05-152022-09-11 Journal: Biosensors & bioelectronics [Category] SARS, 치료기술, [키워드] acutely ill patients Algorithm Analysis Antigen approach autonomous Biomarker CAR-T CAR-T therapy Cell Cell therapy chimeric chimeric antigen receptor CNN Combination Concentration Convolutional neural network COVID-19 patient Critical care Critically ill critically ill COVID-19 patients cytokine Cytokine release syndrome Cytokine storm syndrome Cytokines Data analysis develop Image analysis Immune status immunoassay longitudinal Longitudinal data machine machine learning Microarray Microfluidic digital immunoassay Multiplex biomarker detection. pathway Patient Protein protein concentrations receiving reduce reveal sampling sensitivity serum cytokine serum cytokines therapy unique Volume [DOI] 10.1016/j.bios.2021.113088 PMC 바로가기 [Article Type] Article
Convolutional neural networks for the diagnosis and prognosis of the coronavirus disease pandemicReview Published on 2021-05-052022-10-28 Journal: Visual Computing for Industry, Biomedicine, and Art [Category] COVID-19, [키워드] Accuracy applied approach binary classification caused CNN Computed tomography conducted Convolutional neural network coronavirus disease COVID-19 COVID-19 pandemic COVID-19 patients datasets deep learning Diagnosis extreme group inception increasingly Medical image analysis network Neural network occurrence of COVID-19 pandemic Prognosis Visual were used X-ray [DOI] 10.1186/s42492-021-00078-w PMC 바로가기 [Article Type] Review