Expanding the analysis of optical coherence tomography images
10.3760/cma.j.cn511434-20221010-00537
- VernacularTitle:关注光相干断层扫描图像的拓展分析
- Author:
Qinghuai LIU
1
;
Zizhong HU
Author Information
1. 南京医科大学第一附属医院眼科, 南京 210029
- Keywords:
Tomography, optical coherence;
Image analysis;
Artificial intelligence;
Editorial
- From:
Chinese Journal of Ocular Fundus Diseases
2022;38(11):873-875
- CountryChina
- Language:Chinese
-
Abstract:
Optical coherence tomography (OCT), as a high-resolution, non-invasive, in-vivo image method has been widely used in retinal field, especially in the examination of fundus diseases. Nowadays, the modality has been gradually popularized in most of the national basic-level hospitals. However, OCT is only employed as a diagnostic tool in most cases, ophthalmologists lack of awareness of further exploring the information behind the raw data. In the era of fast-developing artificial intelligence, on the basis of standardized information management, a more comprehensive OCT database should be established. Further original image processing, lesion analysis, and artificial intelligence development of OCT images will help improve the understanding level of vitreoretinal diseases among clinicians and assist ophthalmologists to make more appropriate clinical decisions.
