Tuberculosis detection based on cough sounds: a multi-model voting mechanism-Reference-Cited by-同舟云学术

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Tuberculosis detection based on cough sounds: a multi-model voting mechanism

Published:2023-10-28 Issue: Volume:5 Page:1-6
ISSN:
Container-title:2023 16th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)
language:
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Author:

Bao Xiaofan¹,Xu Wenlong¹,Pan Chen¹,Liu Wenlong¹,Lou Xiaomin²,Chen Yuanyuan²,Zhao Xiaoqiang²,Zhang Chenlu²,Liu Feng³

Affiliation:

1. China Jiliang University,School of Information Engineering,Hangzhou,China

2. Hangzhou Red Cross Hospital,Information Section,Hangzhou,China

3. University of Queensland,School of Information Technology and Electrical Engineering,Brisbane,Queensland

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10373215/10373216/10373284.pdf?arnumber=10373284

Reference29 articles.

1. Detection of tuberculosis by automatic cough sound analysis

2. Validation of an Automated Cough Detection Algorithm for Tracking Recovery of Pulmonary Tuberculosis Patients

3. Role of QuantiFERON-TB Gold, Interferon Gamma Inducible Protein-10 and Tuberculin Skin Test in Active Tuberculosis Diagnosis

4. Feasibility, acceptability, and cost of tuberculosis testing by whole-blood interferon-gamma assay

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