Cargando…
Use of artificial intelligence for the diagnosis of cholesteatoma
OBJECTIVES: Accurate diagnosis of cholesteatomas is crucial. However, cholesteatomas can easily be missed in routine otoscopic exams. Convolutional neural networks (CNNs) have performed well in medical image classification, so we evaluated their use for detecting cholesteatomas in otoscopic images....
Autores principales: | Tseng, Christopher C., Lim, Valerie, Jyung, Robert W. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Inc.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9948563/ https://www.ncbi.nlm.nih.gov/pubmed/36846416 http://dx.doi.org/10.1002/lio2.1008 |
Ejemplares similares
-
Outpatient management of cholesteatoma with canal wall reconstruction tympanomastoidectomy
por: Kao, Richard, et al.
Publicado: (2017) -
Engineered oncolytic virus for the treatment of cholesteatoma: A pilot in vivo study
por: Samy, Ravi N., et al.
Publicado: (2019) -
Cholesteatoma has an altered microbiota with a higher abundance of Staphylococcus species
por: Fujikawa, Taro, et al.
Publicado: (2022) -
Change in chorda tympani nerve function after two‐stage tympanoplasty for cholesteatoma
por: Nishimura, Riu, et al.
Publicado: (2022) -
Immunohistochemical localization of d‐β‐aspartic acid in congenital and acquired middle ear cholesteatoma
por: Kitaya, Shiori, et al.
Publicado: (2022)