Automated detection of COVID-19 cases using deep neural networks with X-ray images
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Wu, 2020, A new coronavirus associated with human respiratory disease in China, Nature, 579, 265, 10.1038/s41586-020-2008-3
Huang, 2020, Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China, Lancet, 395, 497, 10.1016/S0140-6736(20)30183-5
World Health Organization, 2020
Wu, 2020, Characteristics of and important lessons from the coronavirus disease 2019 (COVID-19) outbreak in China: summary of a report of 72 314 cases from the Chinese Center for Disease Control and Prevention, Jama, 323, 1239, 10.1001/jama.2020.2648
Holshue, 2020, First case of 2019 novel coronavirus in the United States, N. Engl. J. Med., 328, 929, 10.1056/NEJMoa2001191
Kong, 2020, Chest imaging appearance of COVID-19 infection, Radiology: Cardiothoracic Imaging, 2
Singhal, 2020, A review of coronavirus disease-2019 (COVID-19), Indian J. Pediatr., 87, 281, 10.1007/s12098-020-03263-6
Zu, 2020, Coronavirus disease 2019 (COVID-19): a perspective from China, Radiology, 10.1148/radiol.2020200490
Kanne, 2020, Essentials for radiologists on COVID-19: an update—radiology scientific expert panel, Radiology, 10.1148/radiol.2020200527
Xie, 2020, Chest CT for typical 2019-nCoV pneumonia: relationship to negative RT-PCR testing, Radiology, 10.1148/radiol.2020200343
Lee, 2020, COVID-19 pneumonia: what has CT taught us?, Lancet Infect. Dis., 20, 384, 10.1016/S1473-3099(20)30134-1
Bernheim, 2020, Chest CT findings in coronavirus disease-19 (COVID-19): relationship to duration of infection, Radiology, 10.1148/radiol.2020200463
Pan, 2020, Time course of lung changes on chest CT during recovery from 2019 novel coronavirus (COVID-19) pneumonia, Radiology, 10.1148/radiol.2020200370
Long, 2020, Diagnosis of the Coronavirus disease (COVID-19): rRT-PCR or CT?, Eur. J. Radiol., 126, 108961, 10.1016/j.ejrad.2020.108961
Shi, 2020, Radiological findings from 81 patients with COVID-19 pneumonia in Wuhan, China: a descriptive study, Lancet Infect. Dis., 24, 425, 10.1016/S1473-3099(20)30086-4
Zhao, 2020, Relation between chest CT findings and clinical conditions of coronavirus disease (COVID-19) pneumonia: a multicenter study, Am. J. Roentgenol., 214, 1072, 10.2214/AJR.20.22976
Li, 2020, Coronavirus Disease 2019 (COVID-19): role of chest CT in diagnosis and management, Am. J. Roentgenol., 1
Chan, 2020, A familial cluster of pneumonia associated with the 2019 novel coronavirus indicating person-to-person transmission: a study of a family cluster, Lancet, 395, 514, 10.1016/S0140-6736(20)30154-9
Yoon, 2020, Chest radiographic and CT findings of the 2019 novel coronavirus disease (COVID-19): analysis of nine patients treated in Korea, Korean J. Radiol., 21, 494, 10.3348/kjr.2020.0132
Lorente
Litjens, 2017, A survey on deep learning in medical image analysis, Med. Image Anal., 42, 60, 10.1016/j.media.2017.07.005
Ker, 2017, Deep learning applications in medical image analysis, Ieee Access, 6, 9375, 10.1109/ACCESS.2017.2788044
Shen, 2017, Deep learning in medical image analysis, Annu. Rev. Biomed. Eng., 19, 221, 10.1146/annurev-bioeng-071516-044442
Faust, 2018, Deep learning for healthcare applications based on physiological signals: a review, Comput. Methods Progr. Biomed., 161, 1, 10.1016/j.cmpb.2018.04.005
Murat, 2020, Application of deep learning techniques for heartbeats detection using ECG signals-Analysis and Review, Comput. Biol. Med., 120, 103726, 10.1016/j.compbiomed.2020.103726
Krizhevsky, 2012, Imagenet classification with deep convolutional neural networks, 1097
Yıldırım, 2018, Arrhythmia detection using deep convolutional neural network with long duration ECG signals, Comput. Biol. Med., 102, 411, 10.1016/j.compbiomed.2018.09.009
Hannun, 2019, Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network, Nat. Med., 25, 65, 10.1038/s41591-018-0268-3
Acharya, 2017, A deep convolutional neural network model to classify heartbeats, Comput. Biol. Med., 89, 389, 10.1016/j.compbiomed.2017.08.022
Esteva, 2017, Dermatologist-level classification of skin cancer with deep neural networks, Nature, 542, 115, 10.1038/nature21056
Codella, 2017, Deep learning ensembles for melanoma recognition in dermoscopy images, IBM J. Res. Dev., 61, 10.1147/JRD.2017.2708299
Celik, 2020, Automated invasive ductal carcinoma detection based using deep transfer learning with whole-slide images, Pattern Recogn. Lett., 133, 232, 10.1016/j.patrec.2020.03.011
Cruz-Roa, 2014, March). Automatic detection of invasive ductal carcinoma in whole slide images with convolutional neural networks, vol. 9041, 904103
Talo, 2019, Convolutional neural networks for multi-class brain disease detection using MRI images, Comput. Med. Imag. Graph., 78, 101673, 10.1016/j.compmedimag.2019.101673
Rajpurkar, 2017
Tan, 2017, Automated segmentation of exudates, haemorrhages, microaneurysms using single convolutional neural network, Inf. Sci., 420, 66, 10.1016/j.ins.2017.08.050
Gaál, 2020
Souza, 2019, An automatic method for lung segmentation and reconstruction in chest X-ray using deep neural networks, Comput. Methods Progr. Biomed., 177, 285, 10.1016/j.cmpb.2019.06.005
Caobelli, 2020, Artificial intelligence in medical imaging: game over for radiologists?, Eur. J. Radiol., 126, 108940, 10.1016/j.ejrad.2020.108940
Hemdan, 2020
Wang, 2020
Ioannis D. Apostolopoulos1, Tzani Bessiana, COVID-19: Automatic Detection from X-Ray Images Utilizing Transfer Learning with Convolutional Neural Networks, arXiv:2003.11617.
Narin, 2020
Sethy, 2020
Song, 2020, Deep learning enables accurate diagnosis of novel coronavirus (COVID-19) with CT images, medRxiv
Wang, 2020, A deep learning algorithm using CT images to screen for Corona Virus Disease (COVID-19), medRxiv
Zheng, 2020, Deep learning-based detection for COVID-19 from chest CT using weak label, medRxiv
Xu, 2020
Barstugan, 2020
Chen, 2020
Lan, 2020, Positive RT-PCR test results in patients recovered from COVID-19, Jama, 323, 1502, 10.1001/jama.2020.2783
Cohen, 2020
Gabriele
Phan, 2020, Importation and human-to-human transmission of a novel coronavirus in Vietnam, N. Engl. J. Med., 382, 872, 10.1056/NEJMc2001272
Lim, 2020, Case of the index patient who caused tertiary transmission of COVID-19 infection in Korea: the application of lopinavir/ritonavir for the treatment of COVID-19 infected pneumonia monitored by quantitative RT-PCR, J. Kor. Med. Sci., 35
Cheng, 2020, First case of coronavirus disease 2019 (COVID-19) pneumonia in taiwan, J. Formos. Med. Assoc.
Wang, 2017, Chestx-ray8: hospital-scale chest x-ray database and benchmarks on weakly-supervised classification and localization of common thorax diseases, 2097
Redmon, 2017
He, 2016, Deep residual learning for image recognition, 770
Selvaraju, 2017, Grad-cam: visual explanations from deep networks via gradient-based localization, 618
Bai, 2020, Performance of radiologists in differentiating COVID-19 from viral pneumonia on chest CT, Radiology