ECG Segmentation by Neural Networks: Errors and Correction
Iana Sereda, Sergey Alekseev, Aleksandra Koneva, Roman Kataev, Grigory V. Osipov · 2019
In this study we examined the question of how error correction occurs in an ensemble of deep convolutional networks trained for an important applied problem: segmentation of Electrocardiograms(ECG). We also explore the possibility of using the information about ensemble errors to evaluate a quality of data representation built by the network.