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),...

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Detalles Bibliográficos
Autores principales: Bi, Mingmin, Zheng, Siting, Li, Xuechen, Liu, Haiyan, Feng, Xiaoshan, Fan, Yunping, Shen, Linlin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Medicine
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

Internet

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

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