哈力木拉提·买买提,艾克力亚尔·艾尼瓦尔,凯赛尔江·卡地尔,刘鹏飞,秦练,马翔

• 1:新疆医科大学第一附属医院第一临床医学院心脏中心

摘要(Abstract)：

如今，冠心病仍然是影响人们生活质量和导致死亡的主要原因，因此冠状动脉病变的检测及治疗至关重要。光学相干断层成像是冠状动脉内斑块组织的鉴别方法。但由于医师的临床经验差异性，导致在诊断中产生分歧使患者无法得到精准治疗。深度学习作为最先进的算法，能够自动提取深层特征，提高其在影像学诊断中的准确性和可靠性。本文将以深度学习在光学相干断层成像的应用进行综述，并对其在冠心病诊断中的未来前景进行展望。

关键词(KeyWords)： 深度学习;冠心病;血管内光学相干断层成像

Abstract:

Keywords:

基金项目(Foundation): 新疆维吾尔自治区重点研发任务专项项目（2022B03022-3）

作者(Author): 哈力木拉提·买买提,艾克力亚尔·艾尼瓦尔,凯赛尔江·卡地尔,刘鹏飞,秦练,马翔

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