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Published in 2022 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2022.3159263
Abstract: Objective: In this study, wepropose an automatic diagnostic algorithm for detecting otitis media based on wideband tympanometry measurements. Methods: We develop a convolutional neural network for classification of otitis media based on the analysis of…
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Keywords:
otitis media;
approach;
wideband tympanometry;
tympanometry measurements ... See more keywords