An integrated autoencoder-based hybrid CNN-LSTM model for COVID-19 severity prediction from lung ultrasound

The COVID-19 pandemic has become one of the biggest threats to the global healthcare system, creating an unprecedented condition worldwide. The necessity of rapid diagnosis calls for alternative methods to predict the condition of the patient, for which disease severity estimation on the basis of Lu...

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Veröffentlicht in:Computers in biology and medicine Jg. 132; S. 104296
Hauptverfasser: Dastider, Ankan Ghosh, Sadik, Farhan, Fattah, Shaikh Anowarul
Format: Journal Article
Sprache:Englisch
Veröffentlicht: United States Elsevier Ltd 01.05.2021
Elsevier Limited
Published by Elsevier Ltd
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ISSN:0010-4825, 1879-0534, 1879-0534
Online-Zugang:Volltext
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