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Updated: Apr 30, 2026

Doppler Optical Coherence Tomography of Retinal Circulation
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使用TriVOCTNet增强皮肤冠状动脉干预:一个多任务深度学习模型,用于全面的血管内光学连贯断层扫描分析

Yu Shi Lau1, Li Kuo Tan2, Kok Han Chee3

  • 1Faculty of Engineering, Department of Biomedical Engineering, Universiti Malaya, Kuala Lumpur, Malaysia.

Physical and engineering sciences in medicine
|January 6, 2025
PubMed
概括

一个新的深度学习模型,TriVOCTNet,自动化了用于皮肤冠状动脉干预 (PCI) 的血管内光学连贯断层扫描 (IVOCT) 图像的分析. 它准确地对金属支架和生物吸收性血管支架 (BVS) 的光线和支架进行细分,一次通过.

关键词:
深度学习是一种深度学习.血管内光学连贯性断层扫描 血管内光学连贯性断层扫描灯光细分的细分是指光线的细分.新理想的覆盖范围是什么?支架支架的安装方式支架支架的细分 支架支架的细分

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