Automatic Lung Health Screening Using Respiratory Sounds
Author:
Publisher
Springer Science and Business Media LLC
Subject
Health Information Management,Health Informatics,Information Systems,Medicine (miscellaneous)
Link
http://link.springer.com/content/pdf/10.1007/s10916-020-01681-9.pdf
Reference23 articles.
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3. Aykanat M., Kılıċ Ö., Kurt B., Saryal S.: Classification of lung sounds using convolutional neural networks. EURASIP J. Image Video Process. 2017 (1): 65, 2017. https://doi.org/10.1186/s13640-017-0213-2
4. Bahoura M., Pelletier C.: New parameters for respiratory sound classification, 2003. https://doi.org/10.1109/CCECE.2003.1226178. https://ieeexplore.ieee.org/document/1226178
5. Brown C., Chauhan J., Grammenos A., Han J., Hasthanasombat A., Spathis D., Xia T., Cicuta P., Mascolo C.: Exploring automatic diagnosis of covid-19 from crowdsourced respiratory sound data.. In: Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. Association for Computing Machinery, New York, 2020, pp 3474–3484, https://doi.org/10.1145/3394486.3412865
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