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
COVID-19: a new deep learning computer-aided model for classificationBioinformatics Published on 2021-02-182022-10-29 Journal: PeerJ Computer Science [Category] COVID-19, [키워드] Accuracy ADAM average classification consequence coronavirus COVID COVID-19 CXR dataset datasets Deep convolutional neural network deep learning demonstrated detect Diagnosis Effectiveness evaluated experiment feasible feature GAN high accuracy Infection less measure memory MONITOR network pandemic Precision reached recall reducing representing sensitivity subject transfer true-positive virus virus spread viruses WHO World Health Organization X-ray X-ray images [DOI] 10.7717/peerj-cs.358 PMC 바로가기 [Article Type] Bioinformatics
EMCNet: Automated COVID-19 diagnosis from X-ray images using convolutional neural network and ensemble of machine learning classifiersResearch article Published on 2020-12-222022-10-05 Journal: Informatics in Medicine Unlocked [Category] 치료기술, [키워드] Accuracy AdaBoost automated automatic detection Automatic diagnosis caused Chest X-ray images classifiers Convolutional neural network coronavirus disease COVID-19 COVID-19 diagnosis COVID-19 patient dataset detection systems develop Ensemble of classifiers False negative rate feature Features Healthcare system identify infected with COVID-19 machine learning classifier maintain Patient Precision random recall researchers Support X-ray X-ray images [DOI] 10.1016/j.imu.2020.100505 [Article Type] Research article