Issues associated with deploying CNN transfer learning to detect COVID-19 from chest X-rays흉부 엑스레이에서 COVID-19를 감지하기 위한 CNN 전이 학습 배포와 관련된 문제Article Published on 2020-12-012022-09-11 Journal: Physical and engineering sciences in medicine [Category] SARS, 치료기술, [키워드] Accuracy Activation Algorithm Analysis applicability can be used chest X-ray Chest X-ray image Chest X-ray images chest X-rays class Class activation maps clinician CNN CNNs confirmed case confirmed cases contributed Convolutional neural network Convolutional neural networks coronavirus COVID-19 Critical database deaths decision deep deep learning detect diagnostic highlight issue lead machine Machine learning algorithms mechanism occurred performed radiologist Radiologists replicate scratch Support technique transfer virus spread Wuhan Wuhan, China X-ray [DOI] 10.1007/s13246-020-00934-8 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
Analyzing inter-reader variability affecting deep ensemble learning for COVID-19 detection in chest radiographsResearch Article Published on 2020-11-122022-10-28 Journal: PLoS ONE [Category] COVID-19, MERS, SARS, [키워드] affecting Algorithm annotation approach benefit Characteristics Chest chest X-ray CNNs Coronavirus disease 2019 COVID-19 CXR deep learning disease estimation help highlight IMPROVE knowledge Level limitation parameter performance random region of interest ROI several limitations Simultaneous Stage statistical analysis Support truth Variability [DOI] 10.1371/journal.pone.0242301 PMC 바로가기 [Article Type] Research Article
A comprehensive study on classification of COVID-19 on computed tomography with pretrained convolutional neural networksArticle Published on 2020-10-092022-10-04 Journal: Scientific Reports [Category] MERS, SARS, 치료기술, 치료법, [키워드] Accuracy adopted alleviate artificial intelligence automated caused CNN CNNs collected Computed tomography Computer science COVID-19 COVID-19 diagnosis COVID-19 patient CT scan database diagnosis of COVID-19 F 1 score feature implementation Non-COVID-19 provided Radiologists Region reported Sensitivity and specificity subjects transfer variety viral infection [DOI] 10.1038/s41598-020-74164-z PMC 바로가기 [Article Type] Article
Computer-aided detection of COVID-19 from X-ray images using multi-CNN and Bayesnet classifierResearch article Published on 2020-10-012022-10-05 Journal: Biocybernetics and Biomedical Engineering [Category] 치료기술, [키워드] Accuracy AUC automated Bayesnet can be used cause caused CFS Classifier CNN CNNs Combination Corona virus correlation COVID-19 dataset datasets detect diagnosing disease early diagnosis Effectiveness experiment feature gold standard Multi-CNN Novel coronavirus pandemic performed RT-PCR RT-PCR test specific symptom the disease was tested with COVID-19 X-ray [DOI] 10.1016/j.bbe.2020.08.005 [Article Type] Research article
MULTI-DEEP: A novel CAD system for coronavirus (COVID-19) diagnosis from CT images using multiple convolution neural networksInfectious Diseases Published on 2020-09-302022-10-28 Journal: PeerJ [Category] COVID-19, [키워드] Accuracy addition applied AUC CAD Classifier CNN CNNs component computed tomography (CT) computer-aided diagnosis (CAD) Convolution Convolution neural networks (CNN) coronavirus Coronavirus (COVID-19) COVID-19 dataset deep learning Deep learning (DL). detect diagnose diagnosing Diagnosis disease effective faster feature Final fused fusing hazard Health non-COVID-19 case non-COVID-19 cases overlap performed Pneumonia principal component analysis provide radiologist reduced RT-PCR RT-PCR test selected sensitivity specificity Support suspected patients SVM tomography Wuhan, China [DOI] 10.7717/peerj.10086 PMC 바로가기 [Article Type] Infectious Diseases
COVID-19 image classification using deep features and fractional-order marine predators algorithmArticle Published on 2020-09-212022-10-29 Journal: Scientific Reports [Category] COVID-19, SARS, [키워드] Accuracy Algorithm Algorithms approach cause CNN CNNs Combination Complication Computational models Corona virus COVID-19 dataset death evaluated feature Features Human Image processing inception International Kaggle machine learning outperform pandemic Predator reduction researcher robust selected Spread Symptom X-ray [DOI] 10.1038/s41598-020-71294-2 PMC 바로가기 [Article Type] Article
CovidGAN: Data Augmentation Using Auxiliary Classifier GAN for Improved Covid-19 DetectionComputational and Artificial Intelligence Published on 2020-05-142022-10-30 Journal: Ieee Access [Category] COVID-19, [키워드] abnormality Accuracy acute respiratory syndrome addition augmentation caused chest X-ray classification CNN CNNs Convolutional neural networks coronavirus COVID-19 COVID-19 detection COVID-19 patient CXR deep deep learning detection detrimental ENhance GAN generate generative adversarial networks Health Improved infected patient network outbreak Patient positive produced Radiographic Research robust SARS-CoV-2 shown spread of COVID-19 synthetic data augmentation training data variety viral disease [DOI] 10.1109/ACCESS.2020.2994762 PMC 바로가기 [Article Type] Computational and Artificial Intelligence