Multi-task semantic segmentation of CT images for COVID-19 infections using DeepLabV3+ based on dilated residual network

COVID-19 is a deadly outbreak that has been declared a public health emergency of international concern. The massive damage of the disease to public health, social life, and the global economy increases the importance of alternative rapid diagnosis and follow-up methods. RT-PCR assay, which is consi...

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Vydané v:	Australasian physical & engineering sciences in medicine Ročník 45; číslo 2; s. 443 - 455
Hlavný autor:	Polat, Hasan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Cham Springer International Publishing 01.06.2022 Springer Nature B.V
Predmet:	Artificial neural networks Biological and Medical Physics Biomedical and Life Sciences Biomedical Engineering and Bioengineering Biomedicine Biophysics Computed tomography Consolidation Coronaviruses COVID-19 COVID-19 - diagnostic imaging Global economy Humans Image Processing, Computer-Assisted - methods Image segmentation Imaging techniques Lungs Medical and Radiation Physics Medical imaging Neural Networks, Computer Public health Scientific Paper Semantic segmentation Semantics Tomography, X-Ray Computed - methods Viral diseases Deep learning Image segmentation Coronavirus (COVID-19) Computed tomography images Image classification
ISSN:	2662-4729, 0158-9938, 2662-4737, 2662-4737, 1879-5447
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