KL-MOB: automated COVID-19 recognition using a novel approach based on image enhancement and a modified MobileNet CNNBioinformatics Published on 2021-09-202022-10-29 Journal: PeerJ Computer Science [Category] COVID-19, [키워드] Accuracy adopted Algorithm applied approach automated breathed Chest CNN contrast enhancement Convolution country COVID-19 COVID-19 cases COVIDx dataset detect develop Health help IMPROVE infected patient KL-MOB Noise reduction Novel coronavirus pandemic Patient Pneumonia Precision researcher researchers returned sensitivity specificity starting point The Kullback–Leibler divergence loss function Vaccine X-ray [DOI] 10.7717/peerj-cs.694 PMC 바로가기 [Article Type] Bioinformatics
Per-COVID-19: A Benchmark Dataset for COVID-19 Percentage Estimation from CT-ScansArticle Published on 2021-09-182022-10-30 Journal: ISA transactions [Category] COVID-19, [키워드] addition approach chain CNN Convolutional neural network COVID-19 COVID-19 infection COVID-19 infections COVID-19 pandemic Critical case CT scan CT-scans dataset dataset generation deep learning disease dynamic error estimation evaluate evaluated Evolution help information intensive care investigated labeling less MAE MSE network Neural Pearson percentage protocol Radiologists reaction recognize root RT-PCR severity square the patient X-ray [DOI] 10.3390/jimaging7090189 PMC 바로가기 [Article Type] Article
COV-VGX: An automated COVID-19 detection system using X-ray images and transfer learningResearch article Published on 2021-09-172022-10-05 Journal: Informatics in Medicine Unlocked [Category] 치료기술, [키워드] Accuracy automated automatically Chest X-ray images Classifier classifiers CNN contribute coronavirus coronavirus disease COVID-19 dataset deep learning detection system develop diagnosing disease evaluated experiment Extensive feasible feature help Pneumonia Precision predict recall transfer transfer learning VGG-16 X-ray X-ray images [DOI] 10.1016/j.imu.2021.100741 [Article Type] Research article
A multi-scale gated multi-head attention depthwise separable CNN model for recognizing COVID-19Article Published on 2021-09-102022-10-04 Journal: Scientific Reports [Category] 치료기술, [키워드] Accuracy acute respiratory disease addition adopted backbone CNN Computational models Computed tomography Computer science Convolution COVID-19 detect effective Efficiency faster Image processing information machine learning mechanism parameters Radiography recognizing reduce sensitivity specificity Spread tested X-ray [DOI] 10.1038/s41598-021-97428-8 PMC 바로가기 [Article Type] Article
Event-Driven Deep Learning for Edge Intelligence (EDL-EI) †Article Published on 2021-09-082022-10-29 Journal: Sensors (Basel, Switzerland) [Category] Coronavirus, SARS, [키워드] Accuracy air-quality event analyzed change China CNN Correlation analysis COVID-19 pandemic deep deep learning edge edge intelligence Effect Efficiency event event-driven deep learning feasibility heterogeneity information intelligence Internet IoT intelligent system latency learning lockdown Predictive producing protection provided reduce sensor fusion significantly South Korea Spread supported USA [DOI] 10.3390/s21186023 PMC 바로가기 [Article Type] Article
Analyze COVID-19 CT images based on evolutionary algorithm with dynamic searching spaceOriginal Article Published on 2021-09-062022-10-31 Journal: Complex & Intelligent Systems [Category] COVID-19, [키워드] Algorithm Analysis approach automatically Batch normalization can be used caused CNN CNNs Computed tomography COVID-19 COVID-19 pandemic COVID-19 testing deteriorate diagnosing Evolutionary algorithms experiment help hospital resource IMPROVE Intensive knowledge over pathogenic performed related expert searched significantly Variable-length chromosomes [DOI] 10.1007/s40747-021-00513-8 PMC 바로가기 [Article Type] Original Article
A deep-learning based multimodal system for Covid-19 diagnosis using breathing sounds and chest X-ray imagesResearch article Published on 2021-09-012022-10-05 Journal: Applied Soft Computing [Category] 바이오마커, 치료기술, [키워드] Accuracy acting Alter alteration Analysis Antigen approach Biomarker Breathing sounds cause chest X-ray Chest X-ray image Chest X-ray images CNN Course COVID-19 curated CXR dataset Deep-learning develop Diagnosis false-negatives healthcare learning MLP network Neural pandemic perceptron reducing Respiratory system SARS-CoV-2 [DOI] 10.1016/j.asoc.2021.107522 [Article Type] Research article
Automated image classification of chest X-rays of COVID-19 using deep transfer learningResearch article Published on 2021-09-012022-10-05 Journal: Results in Physics [Category] 치료기술, [키워드] Accuracy artificial assist automated Automated diagnostics chain chest X-ray Chest X-ray (CXR) China Classifier CNN country COVID-19 COVID-19 (Coronavirus) CXR database dataset death rates deep learning diagnostics Efficacy False negative rate faster feature help hospital identify image classification India initial screening intelligence Isolation less manifestation material much lower negative network Neural new strain outbreak pandemic Patient patients physician positive COVID-19 predict Prevent radiologist Radiology images Rate reaction reported Research Result robust rRT-PCR rRT-PCR test Spread transfer transfer learning virus World Health Organisation Wuhan [DOI] 10.1016/j.rinp.2021.104529 [Article Type] Research article
An approach to the classification of COVID-19 based on CT scans using convolutional features and genetic algorithms컨볼루션 특징과 유전자 알고리즘을 사용한 CT 스캔 기반 코로나19 분류 접근 방식Article Published on 2021-09-012022-09-11 Journal: Computers in biology and medicine [Category] SARS, 변종, 치료기술, [키워드] Accuracy Algorithm Analysis approach approaches assist AUROC classification Classifier CNN complex Computed tomography Convolutional neural network COVID-19 COVID-19 infection CT scan dataset deaths deep deep learning diagnosing diagnosis of COVID-19 feature Genetic Genetic algorithm methodology network network architecture optimization Parameter optimization. parameters Patient performed Respiratory disease responsible shown specialist the disease the SARS-CoV-2 Treatment [DOI] 10.1016/j.compbiomed.2021.104744 PMC 바로가기 [Article Type] Article
Hybrid COVID-19 segmentation and recognition framework (HMB-HCF) using deep learning and genetic algorithms딥 러닝 및 유전 알고리즘을 사용한 하이브리드 코로나19 세분화 및 인식 프레임워크(HMB-HCF)Article Published on 2021-09-012022-09-11 Journal: Artificial intelligence in medicine [Category] SARS, 유전자 메커니즘, 치료기술, 치료제, [키워드] Accuracy Algorithm applicability applied approach AUC classification CNN collected Computer science concerning Convolutional neural network convolutional neural network (CNN) COVID-19 Data augmentation (DA) dataset deep deep learning Deep learning (DL) Diagnosis disease dropout Escalation evaluate experiment generalization Genetic Genetic algorithm Genetic algorithms (GA) highest hybrid Infection learning limit lung Lungs majority mechanism Metrics nine optimization overfitting pandemic disease parameter Precision recall reported transfer Transfer learning (TL). was used [DOI] 10.1016/j.artmed.2021.102156 PMC 바로가기 [Article Type] Article