"ConvLSNet: A lightweight architecture based on ConvLSTM model for the ..."

Faezeh Majzoobi et al. (2024)

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DOI: 10.1016/J.ARTMED.2024.102922

access: closed

type: Journal Article

metadata version: 2024-07-31

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Faezeh Majzoobi, Mohammad Bagher Khodabakhshi, Shahriar Jamasb, Sobhan Goudarzi:
ConvLSNet: A lightweight architecture based on ConvLSTM model for the classification of pulmonary conditions using multichannel lung sound recordings. Artif. Intell. Medicine 154: 102922 (2024)

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