Pulmonary COVID-19: Learning Spatiotemporal Features Combining CNN and LSTM Networks for Lung Ultrasound Video Classification

Pulmonary COVID-19: Learning Spatiotemporal Features Combining CNN and LSTM Networks for Lung Ultrasound Video Classification

Deep Learning is a very active and important area for building Computer-Aided Diagnosis (CAD) applications. This work aims to present a hybrid model to classify lung ultrasound (LUS) videos captured by convex transducers to diagnose COVID-19. A Convolutional Neural Network (CNN) performed the extrac...

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Bibliographic Details
Main Authors:	Bruno Barros, Paulo Lacerda, Célio Albuquerque, Aura Conci
Format:	Article
Language:	English
Published:	MDPI AG 2021-08-01
Series:	Sensors
Subjects:	COVID-19 CNN Deep Learning LSTM lung ultrasound neural networks
Online Access:	https://www.mdpi.com/1424-8220/21/16/5486

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