论文阅读：Cardiologist-Level Arrhythmia Detection with Convolutional Neural Networks
简介 建立了一个病人数量是现有数据集500倍以上数据集； 一个34层的卷积神经网络； 在敏感度和准确度方面都超过了心脏病专家的平均表现。 数据的不平衡问题是这么解决的： “We intentionally select patients exhibiting ab- normal rhythms in order to make the class balance of the dataset m
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相关文章
- 1. Cardiologist-Level Arrhythmia Detection with Convolutional Neural Networks2017
- 2. 论文阅读：Pointwise Convolutional Neural Networks
- 3. 论文阅读《Edge Detection Using Convolutional Neural Network》
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- 6. 论文阅读：Deep Neural Networks for Object Detection
- 7. [论文阅读]Language Modeling with Gated Convolutional Networks
- 8. 论文阅读笔记：GAS---spam review detection with graph convolutional networks
- 9. 《Bag of Tricks for Image Classification with Convolutional Neural Networks》论文阅读笔记
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