Recognition of pulmonary diseases from lung sounds using convolutional neural networks and long short-term memory

In this paper, a study is conducted to explore the ability of deep learning in recognizing pulmonary diseases from electronically recorded lung sounds. The selected data-set included a total of 103 patients obtained from locally recorded stethoscope lung sounds acquired at King Abdullah University H...

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Detalles Bibliográficos
Autores principales: Fraiwan, M., Fraiwan, L., Alkhodari, M., Hassanin, O.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8019351/
https://www.ncbi.nlm.nih.gov/pubmed/33841584
http://dx.doi.org/10.1007/s12652-021-03184-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8019351/
https://www.ncbi.nlm.nih.gov/pubmed/33841584
http://dx.doi.org/10.1007/s12652-021-03184-y

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