医学
冠状动脉造影
人工智能
深度学习
放射科
医学物理学
数据科学
心脏病学
计算机科学
心肌梗塞
作者
James P. Howard,Johan H. C. Reiber
出处
期刊:Eurointervention
[European Association of Percutaneous Cardiovascular Interventions]
日期:2021-05-01
卷期号:17 (1): 16-17
被引量:1
摘要
Cardiology has entered the information age, and modern medical practice now provides us with increasingly vast quantities of complex data which include electronic health records, blood tests, and imaging. For over 30 years there have been efforts to automate the analysis of these data, including coronary angiograms. The earliest methods used manually programmed algorithms employing traditional methods such as edge detection1. However, recently there has been an explosion in medical computer vision, with significantly more complex analyses becoming possible. “Deep learning” is the driving force behind this revolution. It represents a paradigm shift in the way we ...
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