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Improvise approach for respiratory pathologies classification with multilayer convolutional neural networks
Every respiratory-related checkup includes audio samples collected from the individual, collected through different tools (sonograph, stethoscope). This audio is analyzed to identify pathology, which requires time and effort. The research work proposed in this paper aims at easing the task with deep...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9047583/ https://www.ncbi.nlm.nih.gov/pubmed/35505670 http://dx.doi.org/10.1007/s11042-022-12958-1 |