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Achieving a 2.46% boost in respiratory sound classification performance, QLung adapts angular margins based on audio quality, setting a new standard for out-of-distribution robustness.
SSMs can significantly enhance respiratory sound classification by preserving critical frequency components that traditional models often miss.
Stethoscope-induced noise isn't just noise; it's a shortcut that current federated learning methods fail to address, but this new framework can overcome it.
