SOTAVerified

Lung Sound Classification

ICBHI-2017 dataset based lung sound classification

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–10 of 15 papers

TitleStatusHype
RDLINet: A Novel Lightweight Inception Network for Respiratory Disease Classification Using Lung SoundsCode1
Respiratory diseases recognition through respiratory sound with the help of deep neural networkCode1
Stethoscope-guided Supervised Contrastive Learning for Cross-domain Adaptation on Respiratory Sound ClassificationCode1
LungBRN: A Smart Digital Stethoscope for Detecting Respiratory Disease Using bi-ResNet Deep Learning AlgorithmCode0
AsthmaSCELNet: A Lightweight Supervised Contrastive Embedding Learning Framework For Asthma Classification Using Lung SoundsCode0
AsTFSONN: A Unified Framework Based on Time-Frequency Domain Self-Operational Neural Network for Asthmatic Lung Sound ClassificationCode0
ILDNet: A Novel Deep Learning Framework for Interstitial Lung Disease Identification Using Respiratory SoundsCode0
Patient-Aware Feature Alignment for Robust Lung Sound Classification:Cohesion-Separation and Global Alignment LossesCode0
A Lightweight CNN Model for Detecting Respiratory Diseases from Lung Auscultation Sounds using EMD-CWT-based Hybrid ScalogramCode0
LungAttn: advanced lung sound classification using attention mechanism with dual TQWT and triple STFT spectrogramCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1RDLINetAccurcay 99.6—Unverified
2Lightweight CNNAccurcay 98.7—Unverified
3GRUAccurcay 95.7—Unverified