基于深度优先搜索算法的耳镜在中耳炎实时图像判读中的应用

Yukai Huang, Chia-Ping Huang
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引用次数: 9

摘要

人体在生病时,会从不同部位发出警告信号,尤其是与外界有直接联系的部位,如发烧、扁桃体炎、中耳炎等。本课题旨在使用外挂式耳镜在家中发现中耳炎,从内部展示视觉图像,并设计一个基于深度优先搜索算法的系统,对这些图像进行分析,为家长、诊所和儿科医生提供实时中耳炎图像解读。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Depth-First Search Algorithm Based Otoscope Application for Real-Time Otitis Media Image Interpretation
when undergoing sickness, the human body sends out warning signals from different parts, especially the ones which are directly connected with outside world, such as fever, tonsillitis, and otitis media. Our topic is aimed to discover otitis media at home using plug-in otoscope to exhibit visual image from the inside and design a system following Depth-First Search Algorithm to analyze these images as real-time otitis media image interpretation for parents, clinics, and pediatrician.
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