人工智能
狭窄
计算机科学
卷积神经网络
医学
深度学习
分割
血管造影
放射科
右冠状动脉
关键帧
特征(语言学)
帧(网络)
模式识别(心理学)
计算机视觉
冠状动脉造影
心脏病学
心肌梗塞
哲学
电信
语言学
作者
Jong Hak Moon,Da Young Lee,Won Chul,Myung Jin Chung,Kyu‐Sung Lee,Baek Hwan Cho,Jin Ho Choi
标识
DOI:10.1016/j.cmpb.2020.105819
摘要
Our automated classification algorithm could recognize and localize coronary artery stenosis highly accurately. Our approach might provide the basis for a screening and assistant tool for the interpretation of coronary angiography.
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