E-RespiNet: An LLM-ELECTRA driven triple-stream CNN with feature fusion for asthma classification.
Respiratory disease diagnosis remains challenging in resource-constrained settings, where limited specialist expertise contributes to diagnostic uncertainties affecting over 300 million people worldwide. This study presents E-RespiNet, a novel multi-modal deep learning architecture that integrates E...
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| Principais autores: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science (PLoS)
2025-01-01
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| coleção: | PLoS ONE |
| Acesso em linha: | https://doi.org/10.1371/journal.pone.0334528 |
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