Detection of tuberculosis using cough audio analysis: a deep learning approach with capsule networks

Detection of tuberculosis using cough audio analysis: a deep learning approach with capsule networks

Abstract Purpose Tuberculosis (TB) is a widespread infectious disease that requires early detection for effective treatment and control. This study aims to improve TB detection using cough audio analysis, comparing the performance of capsule networks to other deep learning models. Methods We used co...

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Bibliographic Details
Main Authors: Sakthi Jaya Sundar Rajasekar, Anu Rithiga Balaraman, Deepa Varnika Balaraman, Saleem Mohamed Ali, Kannan Narasimhan, Narayanasamy Krishnasamy, Varalakshmi Perumal
Format: Article
Language:English
Published: Springer 2024-11-01
Series:Discover Artificial Intelligence
Subjects:
Tuberculosis
Deep learning
Capsule networks
Cough audio analysis
Online Access:https://doi.org/10.1007/s44163-024-00179-4
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https://doi.org/10.1007/s44163-024-00179-4

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