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MIB-ANet: A novel multi-scale deep network for nasal endoscopy-based adenoid hypertrophy grading
INTRODUCTION: To develop a novel deep learning model to automatically grade adenoid hypertrophy, based on nasal endoscopy, and asses its performance with that of E.N.T. clinicians. METHODS: A total of 3,179 nasoendoscopic images, including 4-grade adenoid hypertrophy (Parikh grading standard, 2006),...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10140414/ https://www.ncbi.nlm.nih.gov/pubmed/37122318 http://dx.doi.org/10.3389/fmed.2023.1142261 |