Artificial intelligence to detect tympanic membrane perforations.
Objective: To explore the feasibility of constructing a proof-of-concept artificial intelligence algorithm to detect tympanic membrane perforations, for future application in under-resourced rural settings. Methods: A retrospective review was conducted of otoscopic images analysed using transfer lea...
| Publicado en: | Journal of Laryngology & Otology Vol. 134; no. 4; pp. 311 - 316 |
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| Autores principales: | , , , |
| Formato: | pictorial research tables/charts Journal Article |
| Publicado: |
Cambridge University Press
Apr2020
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| Acceso en línea: | Ver este registro en EBSCOhost |