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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Detalles Bibliográficos
Autores principales: Barros, Bruno, Lacerda, Paulo, Albuquerque, Célio, Conci, Aura
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8401701/
https://www.ncbi.nlm.nih.gov/pubmed/34450928
http://dx.doi.org/10.3390/s21165486

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8401701/
https://www.ncbi.nlm.nih.gov/pubmed/34450928
http://dx.doi.org/10.3390/s21165486

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