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Lung Sound Classification
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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ICBHI-2017 dataset based lung sound classification
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Patient-Aware Feature Alignment for Robust Lung Sound Classification:Cohesion-Separation and Global Alignment Losses
Tri-MTL: A Triple Multitask Learning Approach for Respiratory Disease Diagnosis
Stethoscope-guided Supervised Contrastive Learning for Cross-domain Adaptation on Respiratory Sound Classification
RDLINet: A Novel Lightweight Inception Network for Respiratory Disease Classification Using Lung Sounds
Lung Sound Classification Using Co-tuning and Stochastic Normalization
Crackle Detection In Lung Sounds Using Transfer Learning And Multi-Input Convolitional Neural Networks
A Lightweight CNN Model for Detecting Respiratory Diseases from Lung Auscultation Sounds using EMD-CWT-based Hybrid Scalogram
Respiratory diseases recognition through respiratory sound with the help of deep neural network
LungBRN: A Smart Digital Stethoscope for Detecting Respiratory Disease Using bi-ResNet Deep Learning Algorithm
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.