Identification of COVID-19 samples from chest X-Ray images using deep learning: A comparison of transfer learning approaches

The novel coronavirus disease 2019 (COVID-19) constitutes a public health emergency globally. The number of infected people and deaths are proliferating every day, which is putting tremendous pressure on our social and healthcare system. Rapid detection of COVID-19 cases is a significant step to fig...

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Vydáno v:	Journal of X-ray science and technology Ročník 28; číslo 5; s. 821
Hlavní autoři:	Rahaman, Md Mamunur, Li, Chen, Yao, Yudong, Kulwa, Frank, Rahman, Mohammad Asadur, Wang, Qian, Qi, Shouliang, Kong, Fanjie, Zhu, Xuemin, Zhao, Xin
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Netherlands 01.01.2020
Témata:	Algorithms Betacoronavirus Coronavirus Infections - diagnostic imaging COVID-19 Databases, Factual Deep Learning Diagnosis, Differential Humans Neural Networks, Computer Pandemics Pneumonia - diagnostic imaging Pneumonia, Viral - diagnostic imaging Radiography, Thoracic Reproducibility of Results SARS-CoV-2 Tomography, X-Ray Computed - methods COVID-19 image identification transfer learning Chest X-Ray Image
ISSN:	1095-9114, 1095-9114
On-line přístup:	Zjistit podrobnosti o přístupu
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