The use of explainable artificial intelligence to explore types of fenestral otosclerosis misdiagnosed when using temporal bone high-resolution computed tomography

BACKGROUND: The purpose of this study was to explore the common characteristics of fenestral otosclerosis (OS) which are misdiagnosed, and develop a deep learning model for the diagnosis of fenestral OS based on temporal bone high-resolution computed tomography scans. METHODS: We conducted a study t...

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Detalles Bibliográficos
Autores principales: Tan, Weimin, Guan, Pengfei, Wu, Lingjie, Chen, Hedan, Li, Jichun, Ling, Yu, Fan, Ting, Wang, Yunfeng, Li, Jian, Yan, Bo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8267294/
https://www.ncbi.nlm.nih.gov/pubmed/34277769
http://dx.doi.org/10.21037/atm-21-1171

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8267294/
https://www.ncbi.nlm.nih.gov/pubmed/34277769
http://dx.doi.org/10.21037/atm-21-1171

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