Inception-Based Network and Multi-Spectrogram Ensemble Applied To Predict Respiratory Anomalies and Lung Diseases
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Publisher
IEEE
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http://xplorestaging.ieee.org/ielx7/9629355/9629471/09629857.pdf?arnumber=9629857
Cited by 13 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Intelligent Stethoscope using Full Self-Attention Mechanism for Abnormal Respiratory Sound Recognition;2023 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI);2023-10-15
2. Machine Learning for Automated Classification of Abnormal Lung Sounds Obtained from Public Databases: A Systematic Review;Bioengineering;2023-10-02
3. An Inception-Residual-Based Architecture with Multi-Objective Loss for Detecting Respiratory Anomalies;2023 IEEE 25th International Workshop on Multimedia Signal Processing (MMSP);2023-09-27
4. Deep learning-based lung sound analysis for intelligent stethoscope;Military Medical Research;2023-09-26
5. A Contrastive Embedding-Based Domain Adaptation Method for Lung Sound Recognition in Children Community-Acquired Pneumonia;ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2023-06-04
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