Evaluating the generalizability of deep learning image classification algorithms to detect middle ear disease using otoscopy

To evaluate the generalizability of artificial intelligence (AI) algorithms that use deep learning methods to identify middle ear disease from otoscopic images, between internal to external performance. 1842 otoscopic images were collected from three independent sources: (a) Van, Turkey, (b) Santiag...

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Detalles Bibliográficos
Autores principales: Habib, Al-Rahim, Xu, Yixi, Bock, Kris, Mohanty, Shrestha, Sederholm, Tina, Weeks, William B., Dodhia, Rahul, Ferres, Juan Lavista, Perry, Chris, Sacks, Raymond, Singh, Narinder
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10067817/
https://www.ncbi.nlm.nih.gov/pubmed/37005441
http://dx.doi.org/10.1038/s41598-023-31921-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10067817/
https://www.ncbi.nlm.nih.gov/pubmed/37005441
http://dx.doi.org/10.1038/s41598-023-31921-0

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