动脉粥样硬化的放射组学研究进展

Q4 Medicine

Zhonghua fang she xue za zhi Chinese journal of radiology Pub Date : 2020-03-10 DOI:10.3760/CMA.J.ISSN.1005-1201.2020.03.017

L. Peng

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引用次数: 0

摘要

As a new interdisciplinary research field, imageomics integrates digital image information, statistics, artificial intelligence, machine learning and deep learning, breaking the traditional visual image evaluation model and opening up a new direction for atherosclerosis research. Imaging omics has shown great potential value in the diagnosis, treatment plan selection, efficacy evaluation, and prognosis judgment of major arterial vascular diseases such as carotid and coronary arteries. This article reviews the basic content and clinical application of atherosclerosis icomics.

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Research progress of radiomics in atherosclerosis

影像组学作为新兴多学科交叉研究领域，融合数字影像信息、统计学、人工智能、机器学习和深度学习等方法，打破了传统视觉影像评价模式，为动脉粥样硬化研究开辟了新的方向。影像组学在颈动脉、冠状动脉等大动脉血管疾病的诊断，治疗方案的选择，疗效评估及预后判断等方面显示出巨大潜在价值。笔者就动脉粥样硬化影像组学的基本内容及其临床应用进展进行综述。

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来源期刊

Zhonghua fang she xue za zhi Chinese journal of radiology Medicine-Radiology, Nuclear Medicine and Imaging

CiteScore

0.30

自引率

0.00%

发文量

10639