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Expanding the analysis of optical coherence tomography images

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Author:
No author available
Journal Title:
Chinese Journal of Ocular Fundus Diseases
Issue:
11
DOI:
10.3760/cma.j.cn511434-20221010-00537
Key Word:
体层摄影术,光学相干;图像解析;人工智能;述评;Tomography, optical coherence;Image analysis;Artificial intelligence;Editorial

Abstract´╝Ü 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.

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