Cov-Net: A computer-aided diagnosis method for recognizing COVID-19 from chest X-ray images via machine visionResearch article Published on 2022-11-012022-10-05 Journal: Sensors (Basel, Switzerland) [Category] 진단, 치료기술, [키워드] Accuracy Algorithms applied asymmetric backbone build CAD Chest X-ray image Computer aided diagnosis (CAD) conditions Convolution Coronavirus disease 2019 COVID-19 database demonstrated Diagnosis Experimental result feature Feature learning global pandemic Image recognition information machine vision mechanism methodology outperform Perspective practicality recognizing robust selected Symptomatic patients [DOI] 10.1016/j.eswa.2022.118029 [Article Type] Research article
Classification and Detection of COVID-19 and Other Chest-Related Diseases Using Transfer LearningArticle Published on 2022-10-192022-11-15 Journal: Sensors (Basel, Switzerland) [Category] COVID19(2023년), SARS, 치료기술, [키워드] Accuracy Algorithms articles automatic detection Bacterial Chest X-ray image classification Classifier CNNs Convolutional neural networks COVID-19 database datasets deep learning detect detection diagnostic different diseases disease FIVE help IMPROVE learning nine Other Pneumonia Pneumothorax radiological reverse transcription suspected patient transfer transfer learning Tuberculosis Viral pneumonia was used X-ray [DOI] 10.3390/s22207977 PMC 바로가기
RESCOVIDTCNnet: A residual neural network-based framework for COVID-19 detection using TCN and EWT with chest X-ray imagesResearch article Published on 2022-10-012022-10-05 Journal: Sensors (Basel, Switzerland) [Category] 치료기술, [키워드] Accuracy Algorithm ANN approach Chest chest X-ray Chest X-ray image COVID COVID-19 COVID-19 diagnosis death deep learning diagnose Diagnosis early stage EWT Features filtered healthy controls Patient Pneumonia Pre-trained CNN methods: Inception-V3 & Resnet-50 radiologist Research suggested Support SVM TCN transfer were used X-ray Lung images [DOI] 10.1016/j.eswa.2022.117410 [Article Type] Research article
TOPSIS aided ensemble of CNN models for screening COVID-19 in chest X-ray imagesArticle Published on 2022-09-142022-11-16 Journal: Scientific Reports [Category] 치료기술, [키워드] aggregate base classifiers CAD Chest X-ray image Chest X-ray images CNN complementary computer Convolution COVID-19 COVIDx dataset develop Diagnosis evaluated Features information Isolation Kaggle Novel coronavirus outcome parameter Pneumonia provide Radiography Red required RGB Robert similarity Spread virus [DOI] 10.1038/s41598-022-18463-7 PMC 바로가기
Learning-to-augment incorporated noise-robust deep CNN for detection of COVID-19 in noisy X-ray imagesResearch article Published on 2022-09-012022-10-05 Journal: Journal of Computational Science [Category] 진단, 치료기술, [키워드] Accuracy adaptive Adaptive convolution Adaptive resize approach Chest X-ray image CNN CNNs collected Convolution COVID-19 COVID-19 classification data augmentation dataset deep healthy IMPROVE include Noise Pneumonia reduced validation X-ray [DOI] 10.1016/j.jocs.2022.101763 [Article Type] Research article
Handling class imbalance in COVID-19 chest X-ray images classification: Using SMOTE and weighted lossResearch article Published on 2022-08-012022-10-05 Journal: Applied Soft Computing [Category] 진단, 치료기술, [키워드] Accuracy assist AUC build Chest X-ray image Chest X-ray images claimed classification classifiers clinician CNNs COVID-19 COVID-19 diagnosis COVID-19 pandemic COVID-19 samples Data imbalance dataset datasets deep learning early diagnosis Efficiency examined hospitals Infection investigated Loss multi-classification positive patient Precision reduce selected sensitivity shown significantly specificity synthetic technique transfer transfer learning Viral pneumonia [DOI] 10.1016/j.asoc.2022.109588 [Article Type] Research article
Automated detection of COVID-19 cases from chest X-ray images using deep neural network and XGBoost심층 신경망 및 XGBoost를 사용하여 흉부 X선 이미지에서 코로나19 사례 자동 감지Article Published on 2022-08-012022-09-11 Journal: Radiography (London, England : 1995) [Category] SARS, 치료기술, [키워드] Accuracy Activation Algorithm approach approaches assist can be used Chest chest X-ray Chest X-ray image Chest X-ray images chests coronavirus disease COVID-19 COVID-19 case COVID-19 cases COVID-19 diagnosis COVID-19 pandemic deep Deep neural network (DNN) DenseNet169 detect diagnosing evaluate experiment faster feature Gradient heatmap implementation initial input network Neural patients with COVID-19 people with COVID-19 problems radiologist Radiologists researcher sensitivity specificity the disease the patient was used X-ray XGBoost [DOI] 10.1016/j.radi.2022.03.011 PMC 바로가기 [Article Type] Article
A novel fusion based convolutional neural network approach for classification of COVID-19 from chest X-ray imagesResearch article Published on 2022-08-012022-10-05 Journal: Biomedical Signal Processing and Control [Category] 치료기술, [키워드] Accuracy Affect approach caused chest X-ray Chest X-ray image Chest X-ray images Classifier confidence Confidence fusion cough CoV COVID-19 COVID-19 pandemic datasets death deep deep learning Deep Learning Method described Diagnosis disease experiment Fever Healthcare system healthy Mild normal Novel coronavirus Patient Pneumonia respiratory infection Respiratory system SARS-CoV-2 shown Symptom transfer learning viral infection weakness Wuhan, China [DOI] 10.1016/j.bspc.2022.103778 [Article Type] Research article
Multi-branch fusion auxiliary learning for the detection of pneumonia from chest X-ray images흉부 X선 영상에서 폐렴 진단을 위한 다분기 융합 보조 학습Article Published on 2022-08-012022-09-11 Journal: Computers in biology and medicine [Category] COVID19(2023년), SARS, 치료기술, [키워드] absence Accuracy assist auxiliary Auxiliary learning average Bacteria Bacterial bacterial pneumonia baseline caused chest X-ray Chest X-ray image COVID-19 Critical CXR deep deep learning ENhance feature fusion fused Infection infectious information Isolation learning Lung infection multi-task learning other viral pneumonia parameter Pneumonia recall recognize screening method Treatment Viral pneumonia virus was used [DOI] 10.1016/j.compbiomed.2022.105732 PMC 바로가기 [Article Type] Article
Classification and detection of COVID-19 X-Ray images based on DenseNet and VGG16 feature fusionResearch article Published on 2022-08-012022-10-05 Journal: Biomedical Signal Processing and Control [Category] 치료기술, [키워드] Accuracy auxiliary average binary classification caused Chest chest X-ray Chest X-ray image classification clinician coronavirus COVID-19 deep learning DenseNet Diagnosis effective feature fusion Features global public health image classification Infectious disease information mechanism novel coronavirus disease Radiologists SARS-CoV-2 Spread syndrome VGG16 X-ray [DOI] 10.1016/j.bspc.2022.103772 [Article Type] Research article