Article
OtoXNet - Automated Identification of Eardrum Diseases from Otoscope Videos: A Deep Learning Study for Video-representing Images
2021-08-07
Abstract excerpt
<h4>Background</h4> The lack of an objective method to evaluate the eardrum is a critical barrier to an accurate diagnosis. Eardrum images are classified into normal or abnormal categories with machine learning techniques. If the input is an otoscopy video, a traditional approach requires great effort and expertise to manually determine the representative frame(s). <h4>Methods</h4> In this paper, we propose a nove...
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Identifiers and source
- Literature Corpus work
- 1bc25e31-2f4c-59de-afa7-99103cf7fd18
- DOI
- 10.1101/2021.08.05.21261672
