Patient Domain Supervised Contrastive Learning (PD-SCL) improves lung sound classification on mobile-phone recordings by 2.4 points over an AST baseline, but the result relies on a small private dataset with no error bars.
Pretraining respiratory sound representa- tions using metadata and contrastive learning,
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Patient Domain Supervised Contrastive Learning for Lung Sound Classification Using Mobile Phone
Patient Domain Supervised Contrastive Learning (PD-SCL) improves lung sound classification on mobile-phone recordings by 2.4 points over an AST baseline, but the result relies on a small private dataset with no error bars.