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解决光学相干断层扫描器械间的差异血管学:图像对图像的翻译系统是否有帮助?

Hosein Nouri1,2, Reza Nasri3, Seyed-Hossein Abtahi4,5

  • 1Ophthalmic Research Center, Research Institute for Ophthalmology and Vision Science, Shahid Beheshti University of Medical Sciences, Tehran, Iran. Hosein.Nouri.2018@gmail.com.

International journal of retina and vitreous
|August 29, 2023
PubMed
概括

通过使用深度学习图像对图像翻译,可以解决光学连贯性断层扫描血管学 (OCTA) 设备之间的数据变化. 这种方法提高了用于视网膜微血管分析的数据可比性和机器学习模型概括性.

关键词:
人工智能的人工智能深度学习是一种深度学习.否认扩散概率模型的概率模型生成的对抗网络 产生性的对抗网络光学连贯性断层扫描血管图谱.无监督的机器学习

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Computed Tomography01:10

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Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...