Lung Sound Classification
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Benchmarks
Most implemented
Patient-Aware Feature Alignment for Robust Lung Sound Classification:Cohesion-Separation and Global Alignment Losses
ILDNet: A Novel Deep Learning Framework for Interstitial Lung Disease Identification Using Respiratory Sounds
Stethoscope-guided Supervised Contrastive Learning for Cross-domain Adaptation on Respiratory Sound Classification
AsthmaSCELNet: A Lightweight Supervised Contrastive Embedding Learning Framework For Asthma Classification Using Lung Sounds
Papers
SS-DPPN: A self-supervised dual-path foundation model for the generalizable cardiac audio representation
The automated analysis of phonocardiograms is vital for the early diagnosis of cardiovascular disease, yet supervised deep learning is often constrained by the scarcity of expert-annotated data. In this paper, we propose…
Lung Sound ClassificationHeart rate estimationContrastive LearningA Multi-Stage Hybrid CNN-Transformer Network for Automated Pediatric Lung Sound Classification
Automated analysis of lung sound auscultation is essential for monitoring respiratory health, especially in regions facing a shortage of skilled healthcare workers. While respiratory sound classification has been widely …
Lung Sound ClassificationPatient Domain Supervised Contrastive Learning for Lung Sound Classification Using Mobile Phone
Auscultation is crucial for diagnosing lung diseases. The COVID-19 pandemic has revealed the limitations of traditional, in-person lung sound assessments. To overcome these issues, advancements in digital stethoscopes an…
Contrastive LearningDiagnosticLung Sound ClassificationSound ClassificationPatient-Aware Feature Alignment for Robust Lung Sound Classification:Cohesion-Separation and Global Alignment Losses
Lung sound classification is vital for early diagnosis of respiratory diseases. However, biomedical signals often exhibit inter-patient variability even among patients with the same symptoms, requiring a learning approac…
Audio ClassificationLung Sound ClassificationSound ClassificationTri-MTL: A Triple Multitask Learning Approach for Respiratory Disease Diagnosis
Auscultation remains a cornerstone of clinical practice, essential for both initial evaluation and continuous monitoring. Clinicians listen to the lung sounds and make a diagnosis by combining the patient's medical histo…
DiagnosticLung Sound ClassificationSound ClassificationILDNet: A Novel Deep Learning Framework for Interstitial Lung Disease Identification Using Respiratory Sounds
Interstitial lung disease (ILD) is a collection of pulmonary adventitious conditions that induce scarring of the lung parenchyma, fibrosis, and inflammation. ILD encompasses over 200 chronic respiratory diseases that gra…
Audio ClassificationDiagnosticLung Disease ClassificationLung Sound Classification+3