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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.