Respiratory disease detection in lung auscultation with convolutional neural networks and CVAE augmentation

The main purpose of this work was to investigate the possibility of detecting respiratory diseases in audio recordings of lung auscultation using modern deep learning tools, as well as to explore the possibility of using data augmentation by generating synthetic spectral representations of audio sa...

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Hlavní autoři:	D.V. Panaskin, S.H. Stirenko, D.S. Babko
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Dnipro State Medical University 2024-10-01
Edice:	Medičnì Perspektivi
Témata:	pulmonary diseases lung sounds deep learning convolutional neural network conditional variational auto encoder
On-line přístup:	https://journals.uran.ua/index.php/2307-0404/article/view/313569
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