Application progresses of deep learning in temporal bone CT imaging
10.13929/j.issn.1003-3289.2024.09.032
- VernacularTitle:深度学习用于颞骨CT成像应用进展
- Author:
Haoyue LI
1
;
Zhiyuan XUE
;
Pingping LU
;
Ke ZHANG
Author Information
1. 北京大学第三医院耳鼻咽喉头颈外科,北京 100191
- Keywords:
ear diseases;
temporal bone;
deep learning;
tomography,X-ray computed
- From:
Chinese Journal of Medical Imaging Technology
2024;40(9):1432-1435
- CountryChina
- Language:Chinese
-
Abstract:
Temporal bone CT imaging is particularly important for diagnosis and treatment of ear diseases,but there are some issues such as insufficient resolution,strong artifacts and low signal-to-noise ratio under low radiation doses,which limit its'clinical application.Recent years,deep learning(DL)had shown great potential in classifying,segmenting and reconstructing medical images,providing new ideas for improving imaging quality of temporal bone CT.The application progresses of DL in temporal bone CT imaging were reviewed in this article.
