COVID-Classifier: an automated machine learning model to assist in the diagnosis of COVID-19 infection in chest X-ray imagesCOVID-Classifier: 흉부 X선 영상에서 COVID-19 감염 진단을 지원하는 자동화된 기계 학습 모델Article Published on 2021-05-102022-09-01 Journal: Scientific Reports [Category] SARS, 진단, 치료기술, [키워드] assist automated build can be used caused Chest X-ray image Classifier conjunction COVID-19 COVID-19 case COVID-19 cases COVID-19 patient COVID-19 patients CXR dataset diagnosis of COVID-19 differential diagnosis feature form generate high accuracy hospital resource hospital resources Infection Mathematics and computing Medical research non-COVID-19 case non-COVID-19 cases non-COVID-19 patient Non-COVID-19 patients Pneumonia radiologist Radiologists reduction sensitivity similarity [DOI] 10.1038/s41598-021-88807-2 PMC 바로가기 [Article Type] Article
Exploring the effect of image enhancement techniques on COVID-19 detection using chest X-ray images흉부 X선 영상을 사용한 영상 향상 기술이 COVID-19 감지에 미치는 영향 탐색Article Published on 2021-05-012022-09-11 Journal: Computers in biology and medicine [Category] SARS, 치료기술, [키워드] Accuracy adaptive approach boost chest X-ray Chest X-ray image Chest X-ray images classification CNN CNNs comparable complement contrast enhancement Convolutional neural networks coronavirus disease COVID COVID-19 CXR database dataset Diagnosis Dice gamma correction Healthcare system Image Image enhancement infections Intersection investigated knowledge lung Lung segmentation Masks network Neural Numerous outperform pandemic Plain positive Precision Prevent reliability reported robust sensitivity significantly specificity Spread union virus were used X-ray [DOI] 10.1016/j.compbiomed.2021.104319 PMC 바로가기 [Article Type] Article
DeepCoroNet: A deep LSTM approach for automated detection of COVID-19 cases from chest X-ray imagesResearch article Published on 2021-05-012022-10-05 Journal: Applied Soft Computing [Category] 치료기술, [키워드] Accuracy applied approach approaches assist automated Automated detection automatically Chest X-ray image Chest X-ray images composed country COVID-19 COVID-19 case criteria dataset Deep LSTM model detect develop Diagnosis died f-score healthy help identify IMPROVE infected with COVID-19 Marker-controlled watershed segmentation New coronavirus pandemic performed Pneumonia radiologist Randomly sensitivity separated significantly specificity transfer transmitted ventilator virus Wuhan, China X-ray [DOI] 10.1016/j.asoc.2021.107160 [Article Type] Research article
CORONA-Net: Diagnosing COVID-19 from X-ray Images Using Re-Initialization and Classification NetworksArticle Published on 2021-04-282022-10-30 Journal: ISA transactions [Category] COVID-19, [키워드] Accuracy automated backbone Chest X-ray image Chest X-ray images classification CNNs combating CORONA-Net COVID-19 COVID-19 pandemic COVIDx dataset deep learning detect distribution experiment Extensive fine-tune Health help Image network Neural outbreak outperform pandemic performed radiologist significantly the disease X-ray [DOI] 10.3390/jimaging7050081 PMC 바로가기 [Article Type] Article
COVID-19 infection map generation and detection from chest X-ray imagesResearch Published on 2021-04-012022-10-31 Journal: Health Information Science and Systems [Category] COVID-19, [키워드] Activation approach chest X-ray Chest X-ray image Clinical use coronavirus disease COVID-19 COVID-19 detection COVID-19 diagnosis COVID-19 infection COVID-19 infection segmentation COVID-19 samples CXR dataset deep deep learning Diagnosis experiment Infection joint learning Mask Numerous performed Prevent regions Repository SARS-CoV-2 sensitivity severity severity of COVID-19 significantly specificity Spread Treatment virus [DOI] 10.1007/s13755-021-00146-8 PMC 바로가기 [Article Type] Research
Application of Machine Learning in Diagnosis of COVID-19 Through X-Ray and CT Images: A Scoping ReviewCardiovascular Medicine Published on 2021-03-252022-10-31 Journal: Frontiers in Cardiovascular Medicine [Category] COVID-19, [키워드] Accuracy applicability application Biomarker chest CT scan Chest X-ray image Clinical diagnosis COVID-19 COVID-19 diagnosis CT scan Deep Learning Method detection diagnosed diagnosis of COVID-19 disease facilitated high mortality machine learning nasopharyngeal ranged reported review RT-PCR sensitivity Spread throat swab X-ray X-ray image [DOI] 10.3389/fcvm.2021.638011 PMC 바로가기 [Article Type] Cardiovascular Medicine
Convolutional neural network model based on radiological images to support COVID-19 diagnosis: Evaluating database biasesResearch Article Published on 2021-03-012022-10-28 Journal: PLoS ONE [Category] COVID-19, [키워드] Accuracy addition Analysis approach binary classification Characteristics Chest X-ray image CNN Convolutional neural network COVID-19 COVID-19 diagnosis database dataset datasets develop diagnose diagnosis of COVID-19 effort Evaluating infected patient less methodology noninvasive Patient performed Pneumonia Precision Prevent provided radiological reduced SARS-CoV-2 Scientific community sick Spread Support treat virus with COVID-19 [DOI] 10.1371/journal.pone.0247839 PMC 바로가기 [Article Type] Research Article
XCOVNet: Chest X-ray Image Classification for COVID-19 Early Detection Using Convolutional Neural NetworksArticle Published on 2021-02-242022-10-30 Journal: New Generation Computing [Category] COVID-19, [키워드] Accuracy Asymptomatic chest X-ray Chest X-ray image classification Contact contagious coronavirus COVID-19 COVID-19 disease diagnosis COVID-19 infection Critical dataset detect detection disease FIVE Image image classification machine learning Mild moderate network Neural pandemic Patient polymerase chain positive reported reverse transcription RT-PCR SARS-CoV-2 severity Spread X-ray [DOI] 10.1007/s00354-021-00121-7 PMC 바로가기 [Article Type] Article
Deep learning approaches for COVID-19 detection based on chest X-ray imagesResearch article Published on 2021-02-012022-10-05 Journal: Sensors (Basel, Switzerland) [Category] 치료기술, [키워드] Accuracy approach approaches cause Chest X-ray image Chest X-ray images classification Classifier CNN Convolutional neural networks COVID-19 COVID-19 disease cubic dataset death deep deep learning experimental work feature Features functions global pandemic healthy highest Infection Local Local texture descriptors Lung disease Lungs MONITOR produced support vector machine SVM upper respiratory tract virus was used were used X-ray [DOI] 10.1016/j.eswa.2020.114054 [Article Type] Research article
Application of deep learning techniques for detection of COVID-19 cases using chest X-ray images: A comprehensive studyResearch article Published on 2021-02-012022-10-05 Journal: Biomedical Signal Processing and Control [Category] 치료기술, [키워드] Accuracy Algorithm Analysis application artificial automated caused chain chest X-ray Chest X-ray image CNN confirmed case Convolutional neural networks COVID-19 COVID-19 case COVID-19 infection deep deep learning Diagnosis early diagnosis effective Effectiveness eight evaluate Factor FIVE globe greatly reduce Health hospital intelligence learning network Neural Optimization algorithms reaction researcher RT-PCR SARS-CoV-2 time-consuming virus X-ray [DOI] 10.1016/j.bspc.2020.102365 [Article Type] Research article