Utility of deep learning for the diagnosis of cochlear malformation on temporal bone CT-Reference-Cited by-同舟云学术

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Utility of deep learning for the diagnosis of cochlear malformation on temporal bone CT

Published:2023-10-09 Issue: Volume: Page:
ISSN:1867-1071
Container-title:Japanese Journal of Radiology
language:en
Short-container-title:Jpn J Radiol

Author:

Li Zhenhua,Zhou Langtao,bin Xiang,Tan Songhua,Tan Zhiqiang,Tang Anzhou

Funder

Natural Science Foundation of Hunan Province

Publisher

Springer Science and Business Media LLC

Subject

Radiology, Nuclear Medicine and imaging

Link

https://link.springer.com/content/pdf/10.1007/s11604-023-01494-z.pdf

Reference26 articles.

1. Sennaroglu L, Saatci I. A new classification for cochleovestibular malformations[J]. Laryngoscope. 2002;112:2230–41.

2. Sennaroglu L, Saatci I. Unpartitioned versus incompletely partitioned cochleae: radiologic differentiation[J]. Otol Neurotol. 2004;25:520–9.

3. Reefhuis J, Honein MA, Whitney CG, et al. Risk of bacterial meningitis in children with cochlear implants[J]. N Engl J Med. 2003;349:435–45.

4. Sennaroglu L. Cochlear implantation in inner ear malformations—a review article[J]. Cochlear Implants Int. 2010;11(1):4–41.

5. Johnson J, Anil KL. Sensorineural and conductive hearing loss associated with lateral semicircular canal malformation[J]. Laryngoscope. 2000;110:1673–9.

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