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Aug, 2024
CNN基于ECG图像的心血管疾病检测
CNN Based Detection of Cardiovascular Diseases from ECG Images
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Irem Sayin, Rana Gursoy, Buse Cicek, Yunus Emre Mert, Fatih Ozturk...
TL;DR
本研究针对心肌梗死（MI）检测的缺口，开发了一种基于卷积神经网络（CNN）的模型。该模型利用InceptionV3架构并通过迁移学习优化，能够以93.27%的准确率识别心肌梗死等心血管疾病，显著支持临床医生在心脏病早期检测和预防中的工作。
Abstract
This study develops a
Convolutional Neural Network
(CNN) model for detecting
Myocardial Infarction
(MI) from Electrocardiogram (ECG) images. The model, built using the InceptionV3 architecture and optimized throu
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