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ECG-SMART-NET:一种用于精准诊断闭塞性心肌梗死的深度学习架构
闭塞型心肌梗死(OMI)的ECG智能识别模型研究。提出ECG-SMART-NET改进ResNet-18架构,采用1xk时序卷积捕捉单导时序特征,12x1空间卷积整合多导空间信息,在10,393例临床数据测试中AUC达0.953,优于随机森林和原始ResNet-18。 摘要: 目标:在本文中,我们开发并评估了ECG ...
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