COVID-19 Detection from Chest X-ray Images Using Feature Fusion and Deep Learning기능 융합 및 딥 러닝을 사용하여 흉부 X선 이미지에서 코로나19 감지Article Published on 2021-02-202022-09-12 Journal: Sensors (Basel, Switzerland) [Category] MERS, 진단, [키워드] Accuracy Algorithm Analysis anisotropic diffusion ANN approach caused chest X-ray Chest X-ray images China CNN Convolutional neural network convolutional neural network (CNN) coronavirus COVID-19 Cross-validation death rate deaths decrease deep deep learning demonstrated detect detection develop Diagnosis diffusion disease feature Fracture fused fusion histogram histogram-oriented gradient (HOG) human body Image impair input learning Novel coronavirus number of deaths obvious symptoms overfitting patient’s death provided reduced Research responsible sensitivity specificity Spread SVM thought was used watershed segmentation Wuhan X-ray X-ray image [DOI] 10.3390/s21041480 PMC 바로가기 [Article Type] Article
Development and validation of an online model to predict critical COVID-19 with immune-inflammatory parametersResearch Published on 2021-02-182022-10-30 Journal: Journal of Intensive Care [Category] COVID-19, [키워드] 95% CI 95% confidence interval Admission Algorithm applied AUC C reactive protein China Chinese clinical Cohort collected COVID-19 COVID-19 patient COVID-19 patients Critical Critical illness dataset death decision defined develop development discharge disease dysfunction external validation facilitate feature Gradient high risk hospital identify Immune-inflammatory parameters Inflammatory Intensive intensive care interleukin 2 Intervention invasive ventilation lymphocyte machine learning Machine learning algorithms network Neural Occurrence Online model outcome parameter parameters Patient predict Predictive procalcitonin receiving receptor Registered registry Regression reported Result Selection severity Shrinkage supplementary material support vector machine SVM training dataset tree validation cohort [DOI] 10.1186/s40560-021-00531-1 PMC 바로가기 [Article Type] Research
Run length encoding based wavelet features for COVID-19 detection in X-raysOriginal Research Published on 2021-02-022022-10-28 Journal: BJR Open [Category] COVID-19, [키워드] Accuracy advance approach Chest chest X-ray Classifier coefficient coefficients COVID-19 COVID-19 case COVID-19 cases feature introduced reduce reducing representing required selected Support SVM vector Wavelet wavelet transform X-ray [DOI] 10.1259/bjro.20200028 PMC 바로가기 [Article Type] Original Research
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
A hybrid deep transfer learning model with machine learning methods for face mask detection in the era of the COVID-19 pandemicResearch article Published on 2021-01-012022-10-05 Journal: Measurement [Category] 치료기술, [키워드] Accuracy Algorithm classical Classical machine learning Classifier components coronavirus COVID-19 COVID-19 pandemic dataset Deep transfer learning effective face Face mask Health Masked face selected support vector machine SVM transfer while WHO World Health Organization [DOI] 10.1016/j.measurement.2020.108288 [Article Type] Research article
A CT-based radiomics nomogram for predicting prognosis of coronavirus disease 2019 (COVID-19) radiomics nomogram predicting COVID-19코로나바이러스 질병 2019(COVID-19)의 예후를 예측하기 위한 CT 기반 방사선 노모그램 COVID-19를 예측하는 방사선 노모그램Full Paper Published on 2021-01-012022-09-12 Journal: The British Journal of Radiology [Category] 진단, [키워드] advance AUC value AUC values Biomarker C-index calculated Chest CT image Chest CT images classifiers Clinical data clinical factor clinician coefficient collected consolidation coronavirus disease COVID-19 decision curve analysis defined density enrolled feature Features GGO help identify Laboratory testing linear combination Patient patients patients with COVID-19 predict Predictive Prognosis progressed randomly divided ROI ROIs selected significantly higher Stage stages SVM the patient training set [DOI] 10.1259/bjr.20200634 PMC 바로가기 [Article Type] Full Paper
A CT-based radiomics nomogram for predicting prognosis of coronavirus disease 2019 (COVID-19) radiomics nomogram predicting COVID-19Full Paper Published on 2021-01-012022-10-27 Journal: The British Journal of Radiology [Category] COVID-19, MERS, [키워드] advance AUC value Biomarker C-index calculated Chest CT image classifiers Clinical data clinical factor clinician coefficient collected consolidation coronavirus disease COVID-19 decision curve analysis defined enrolled feature Features GGO help identify Laboratory testing linear combination Patient patients patients with COVID-19 predict Predictive Prognosis progressed randomly divided ROI selected significantly higher Stage stages SVM the patient [DOI] 10.1259/bjr.20200634 PMC 바로가기 [Article Type] Full Paper
COVID-19 detection in radiological text reports integrating entity recognition개체 인식을 통합하는 방사선 텍스트 보고서의 COVID-19 탐지Article Published on 2020-12-012022-09-11 Journal: Computers in biology and medicine [Category] SARS, 치료기술, [키워드] Accuracy approach automatic detection automatically baseline best can be used Chest Chest CT clinician Computed tomography COVID-19 Diagnosis disorder entity experiment help information input integration language likelihood lung involvement Lungs machine learning machine learning approaches mutual information Named entity recognition natural natural language natural language processing offer overcome Patient PCR test predict presenting processing provided radiological radiological finding Radiological report Recognition SVM text Text classification with COVID-19 [DOI] 10.1016/j.compbiomed.2020.104066 PMC 바로가기 [Article Type] Article
A Novel Medical Diagnosis model for COVID-19 infection detection based on Deep Features and Bayesian OptimizationResearch article Published on 2020-12-012022-10-05 Journal: Applied Soft Computing [Category] 치료기술, [키워드] Accuracy Algorithm approach assist automatically Bayesian can be used causes Characteristics Chest X-ray image Classifier CNN CNNs conducted Convolution Coronavirus disease 2019 COVID-19 COVID-19 infection database deep Deep feature extraction deep learning detect disease Effect experiment f-score feature FIVE Infection machine learning Machine learning algorithms machine learning model Medical decision support system novel optimization Physicians Pneumonia positive COVID-19 provided public health radiologist reduced retrospective sensitivity specificity Spread Support SVM transfer were used Wuhan, China [DOI] 10.1016/j.asoc.2020.106580 [Article Type] Research article
An efficient mixture of deep and machine learning models for COVID-19 diagnosis in chest X-ray imagesResearch Article Published on 2020-11-172022-10-28 Journal: PLoS ONE [Category] COVID-19, MERS, SARS, [키워드] Accuracy AUC auxiliary baseline chest X-ray Chest X-ray image Chest X-ray images Combination coronavirus COVID-19 COVID-19 case COVID-19 cases COVID-19 diagnosis Critical dataset deep learning diagnose Diagnosis diagnostic Diagnostic method evaluated feature FIVE Follow-up Health imaging diagnosis IMPROVE infected patients machine learning model methodology performed Practitioner radiologist reached reduce Research sensitivity specificity SVM tested transfer was tested X-ray [DOI] 10.1371/journal.pone.0242535 PMC 바로가기 [Article Type] Research Article