•We have proposed an approach for lung sounds classification using CNNs and compared it with two features-based approaches.•In the first handcrafted features-based approach, we used MFCC’s statistics extracted from the signals.•In the second one, we used local binary patterns extracted from spectrograms.•We also opted for ‘Handcrafted Features + CNN’ and ‘CNN Features + Classifier’ configurations.•The final results show that CNNs outperformed the handcrafted features-based approaches.
Artificial Intelligence in Medicine – Elsevier
Published: Jun 1, 2018
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