MIB-ANet: A novel multi-scale deep network for nasal endoscopy-based adenoid hypertrophy grading

MIB-ANet: A novel multi-scale deep network for nasal endoscopy-based adenoid hypertrophy grading

IntroductionTo 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.MethodsA total of 3,179 nasoendoscopic images, including 4-grade adenoid hypertrophy (Parikh grading standard, 2006), were...

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Bibliographic Details
Main Authors: Mingmin Bi, Siting Zheng, Xuechen Li, Haiyan Liu, Xiaoshan Feng, Yunping Fan, Linlin Shen
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-04-01
Series:Frontiers in Medicine
Subjects:
adenoid hypertrophy
nasal endoscopy
deep learning
medical image classification
convolutional neural networks
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2023.1142261/full

Internet

https://www.frontiersin.org/articles/10.3389/fmed.2023.1142261/full

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