[HTML][HTML] Deep learning-based lung sound analysis for intelligent stethoscope

DM Huang, J Huang, K Qiao, NS Zhong, HZ Lu… - Military Medical …, 2023 - Springer
Auscultation is crucial for the diagnosis of respiratory system diseases. However, traditional
stethoscopes have inherent limitations, such as inter-listener variability and subjectivity, and …

Deep learning-based lung sound analysis for intelligent stethoscope.

DM Huang, J Huang, K Qiao, NS Zhong… - Military Medical …, 2023 - go.gale.com
Auscultation is crucial for the diagnosis of respiratory system diseases. However, traditional
stethoscopes have inherent limitations, such as inter-listener variability and subjectivity, and …

[PDF][PDF] Deep learning-based lung sound analysis for intelligent stethoscope

DM Huang, J Huang, K Qiao, NS Zhong, HZ Lu… - 2023 - scienceopen.com
Auscultation is crucial for the diagnosis of respiratory system diseases. However, traditional
stethoscopes have inher‑ent limitations, such as inter‑listener variability and subjectivity, and …

[HTML][HTML] Deep learning-based lung sound analysis for intelligent stethoscope

DM Huang, J Huang, K Qiao… - Military Medical …, 2023 - mmrjournal.biomedcentral.com
Auscultation is crucial for the diagnosis of respiratory system diseases. However, traditional
stethoscopes have inherent limitations, such as inter-listener variability and subjectivity, and …

Deep learning-based lung sound analysis for intelligent stethoscope

H Dong-Min, J Huang, K Qiao, NS Zhong… - Military Medical …, 2023 - search.proquest.com
Auscultation is crucial for the diagnosis of respiratory system diseases. However, traditional
stethoscopes have inherent limitations, such as inter-listener variability and subjectivity, and …

Deep learning-based lung sound analysis for intelligent stethoscope.

DM Huang, J Huang, K Qiao, NS Zhong… - Military Medical …, 2023 - search.ebscohost.com
Auscultation is crucial for the diagnosis of respiratory system diseases. However, traditional
stethoscopes have inherent limitations, such as inter-listener variability and subjectivity, and …

[HTML][HTML] Deep learning-based lung sound analysis for intelligent stethoscope

DM Huang, J Huang, K Qiao, NS Zhong… - Military Medical …, 2023 - ncbi.nlm.nih.gov
Auscultation is crucial for the diagnosis of respiratory system diseases. However, traditional
stethoscopes have inherent limitations, such as inter-listener variability and subjectivity, and …

Deep learning-based lung sound analysis for intelligent stethoscope

DM Huang, J Huang, K Qiao… - Military Medical …, 2023 - pubmed.ncbi.nlm.nih.gov
Auscultation is crucial for the diagnosis of respiratory system diseases. However, traditional
stethoscopes have inherent limitations, such as inter-listener variability and subjectivity, and …

Deep learning-based lung sound analysis for intelligent stethoscope.

DM Huang, J Huang, K Qiao, NS Zhong… - Military Medical …, 2023 - europepmc.org
Auscultation is crucial for the diagnosis of respiratory system diseases. However, traditional
stethoscopes have inherent limitations, such as inter-listener variability and subjectivity, and …

[PDF][PDF] Deep learning-based lung sound analysis for intelligent stethoscope

DM Huang, J Huang, K Qiao, NS Zhong, HZ Lu… - 2023 - mmrjournal.biomedcentral.com
Auscultation is crucial for the diagnosis of respiratory system diseases. However, traditional
stethoscopes have inher‑ent limitations, such as inter‑listener variability and subjectivity, and …