CycleGuardian: a framework for automatic respiratory sound classification based on improved deep clustering and contrastive learning
Abstract Auscultation plays a pivotal role in early respiratory and pulmonary disease diagnosis.Despite the emergence of deep learning-based methods for automatic respiratory sound classification post-Covid-19, limited datasets impede performance enhancement.Distinguishing between normal and abnormal respiratory sounds poses challenges due to the c