Automatic Tuberculosis and COVID-19 cough classification using deep learning

Author:

Pahar Madhurananda1,Klopper Marisa2,Reeve Byron2,Warren Rob2,Theron Grant2,Diacon Andreas3,Niesler Thomas1

Affiliation:

1. Stellenbosch University,Department of Electrical and Electronic Engineering,Stellenbosch,South Africa

2. Stellenbosch University,Division of Molecular Biology and Human Genetics,Stellenbosch,South Africa

3. TASK Applied Science,Cape Town,South Africa

Publisher

IEEE

Cited by 11 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. Cough Detection Using Acceleration Signals and Deep Learning Techniques;Electronics;2024-06-20

2. Analysis of the Cough Sound Records;2024 ELEKTRO (ELEKTRO);2024-05-20

3. Predicting COVID-19 Cough Sounds Using Spectrogram Analysis Across Multiple Classes;International Journal of Scientific Research in Computer Science, Engineering and Information Technology;2024-03-28

4. A Comprehensive Review on COVID-19 Cough Audio Classification through Deep Learning;International Journal of Scientific Research in Computer Science, Engineering and Information Technology;2023-11-10

5. Tuberculosis detection based on cough sounds: a multi-model voting mechanism;2023 16th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI);2023-10-28

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