Federated Semi-Supervised Multi-Task Learning to Detect COVID-19 and Lungs Segmentation Marking Using Chest Radiography Images and Raspberry Pi Devices: An Internet of Medical Things Application흉부 방사선 촬영 이미지와 Raspberry Pi 장치를 사용하여 COVID-19 및 폐 분할 표시를 감지하기 위한 연합 준지도 다중 작업 학습: 의료 사물 인터넷 응용 프로그램Article Published on 2021-07-242022-09-10 Journal: Sensors (Basel, Switzerland) [Category] SARS, 치료기술, [키워드] Accuracy applicability application average benefit Chest radiography COVID-19 decision support systems domain effective equipment experiment federated learning Image Internet internet of medical things issue learning less lung marking multi-task learning Precision provide Radiography Raspberry Raspberry Pi recall Segmentation semi-supervised learning semi-supervised machine learning Support transfer transfer learning [DOI] 10.3390/s21155025 PMC 바로가기 [Article Type] Article
Automatic Detection of Coronavirus Disease (COVID-19) in X-ray and CT Images: A Machine Learning Based ApproachResearch article Published on 2021-07-012022-10-05 Journal: Biocybernetics and Biomedical Engineering [Category] 치료기술, [키워드] abnormality Accuracy acute respiratory distress antiviral drug approach approved assist Automatic Canada chest X-ray Classifier clinically complications computer-aided diagnosis coronavirus disease COVID-19 Critical dataset deep learning detection Diagnosis diagnosis of COVID-19 dry cough feature Feature extraction Fever help Lung Opacity machine learning machine learning classifier MONITOR multi-organ failure pathogenic Pneumonia progression Pulmonary edema reduce mortality Septic shock sore throat subject Support symptoms of COVID-19 syndrome the disease transfer learning Treatment Vaccine while X-ray [DOI] 10.1016/j.bbe.2021.05.013 [Article Type] Research article
COVID-19 pulmonary consolidations detection in chest X-ray using progressive resizing and transfer learning techniquesResearch article Published on 2021-06-052022-10-05 Journal: Heliyon [Category] 치료기술, [키워드] Analysis applied assist baseline cause chest X-ray Chest X-ray analysis clinical CNN computation consolidation COVID-19 deep Diagnosis evaluation criteria exhibit facilitate Factor febrile illness health center highlight imperative implication inherent Interpretation knowledge learning limitations Lower respiratory tract lung network Neural Pneumonia Prognosis Progressive Progressive resizing pulmonary Pulmonary consolidations radiological resource reuse Saliency maps SARS-CoV-2 syndrome the patient transfer transfer learning viral outbreak X-ray [DOI] 10.1016/j.heliyon.2021.e07211 [Article Type] Research article
CoVNet-19: A Deep Learning model for the detection and analysis of COVID-19 patientsResearch article Published on 2021-06-012022-10-05 Journal: Applied Soft Computing [Category] 치료기술, [키워드] Accuracy affected Analysis approach average binary classification Care Characteristics Chest contribute Convolution neural networks Corona coronavirus country COVID COVID-19 COVID-19 case COVID-19 infected patient COVID-19 infected patients COVID-19 patient COVID-19 patients deep deep learning diagnosing Diagnosis diagnostic Ensemble learning exponential growth Fatality rate Health help identify learning network model Neural normal novel pandemic patients positive practitioners Precision problems Radiography radiologist resources transfer learning Treatment was obtained X-ray [DOI] 10.1016/j.asoc.2021.107184 [Article Type] Research 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
Automatic detection of COVID-19 from chest radiographs using deep learningResearch article Published on 2021-05-012022-10-05 Journal: Radiography (London, England : 1995) [Category] SARS, 치료기술, [키워드] absence Accuracy approved Automatic Bacterial breadth caused Chest chest radiographs Clinical diagnosis contagious coronavirus country COVID COVID patient COVID-19 COVID-19 testing dataset death deep learning disease driven by expected experiment globe Healthcare professional healthy help Infection Infectious disease initial screening Isolation magnitude neural networks outbreak pandemic PCR testing Pneumonia positive Result scaled shown significantly Spread subject tested transfer learning treat Vaccine was used [DOI] 10.1016/j.radi.2020.10.018 [Article Type] Research article
Deep CNN models for predicting COVID-19 in CT and x-ray imagesComputer-Aided Diagnosis Published on 2021-04-212022-10-30 Journal: Journal of Medical Imaging [Category] COVID-19, [키워드] Accuracy AUC boost characteristic Chest computed tomography Chest CT CNN Combing consolidations Convolutional neural network Coronavirus disease 2019 COVID-19 COVID-19 infection deep detect Diagnosis Efficiency GGO ground-glass opacity help highest Infection Lung CT management Non-COVID-19 performance Pneumonia predict radiologist Radiomics Region regions of interest ROI Spread subjects tested transfer transfer learning was measured [DOI] 10.1117/1.JMI.8.S1.014502 PMC 바로가기 [Article Type] Computer-Aided Diagnosis
Transfer learning-based ensemble support vector machine model for automated COVID-19 detection using lung computerized tomography scan dataArticle Published on 2021-04-012023-06-19 Journal: Medical & biological engineering & computing [Category] MERS, SARS, [키워드] COVID-19 CT Scan data Ensemble SVM transfer learning VGG16. [DOI] 10.1007/s11517-020-02299-2 PMC 바로가기
Does non-COVID-19 lung lesion help? investigating transferability in COVID-19 CT image segmentationArticle Published on 2021-04-012023-06-19 Journal: Computer methods and programs in biomedicine [Category] MERS, SARS, [키워드] COVID-19 CT image Segmentation transfer learning [DOI] 10.1016/j.cmpb.2021.106004 PMC 바로가기
Automated detection of COVID-19 from CT scan using convolutional neural networkResearch article Published on 2021-04-012022-10-05 Journal: Biocybernetics and Biomedical Engineering [Category] 치료기술, [키워드] Accuracy Algorithm approach artificial intelligence automated average baseline binary classification can be used categories CNN conducted Convolutional neural network COVID-19 CT scan CT Scan images CT scans deep detect develop diagnostic capabilities early diagnosis Effectiveness Experimental result global pandemic IMPROVE Isolation learning network Neural normal ResNet50 stratified transfer learning VGG16 [DOI] 10.1016/j.bbe.2021.04.006 [Article Type] Research article