CycleGuardian: a framework for automatic respiratory sound classification based on improved deep clustering and contrastive learning

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 abnor...

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Bibliographic Details
Main Authors: Yun Chu, Qiuhao Wang, Enze Zhou, Ling Fu, Qian Liu, Gang Zheng
Format: Article
Language:English
Published: Springer 2025-03-01
Series:Complex & Intelligent Systems
Subjects:
Intelligent auscultation
Deep learning
Contrastive learning
Respiratory sound
Online Access:https://doi.org/10.1007/s40747-025-01800-4
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