Computer-Aided Diagnosis of Laryngeal Cancer Based on Deep Learning with Laryngoscopic Images
Laryngeal cancer poses a significant global health burden, with late-stage diagnoses contributing to reduced survival rates. This study explores the application of deep convolutional neural networks (DCNNs), specifically the Densenet201 architecture, in the computer-aided diagnosis of laryngeal canc...
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| Principais autores: | , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI AG
2023-12-01
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| coleção: | Diagnostics |
| Assuntos: | |
| Acesso em linha: | https://www.mdpi.com/2075-4418/13/24/3669 |
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