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 sam...
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Main Authors: | D.V. Panaskin, S.H. Stirenko, D.S. Babko |
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Format: | Article |
Language: | English |
Published: |
Dnipro State Medical University
2024-10-01
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Series: | Medičnì Perspektivi |
Subjects: | |
Online Access: | https://journals.uran.ua/index.php/2307-0404/article/view/313569 |
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