Development of Automated Neural Network Prediction for Echocardiographic Left ventricular Ejection Fraction

arXiv:2403.12152v1 Announce Type: new
Abstract: The echocardiographic measurement of left ventricular ejection fraction (LVEF) is fundamental to the diagnosis and classification of patients with heart failure (HF). In order to quantify LVEF automatically and accurately, this paper proposes a new pipeline method based on deep neural networks and ensemble learning. Within the pipeline, an Atrous Convolutional Neural Network (ACNN) was first trained to segment the left ventricle (LV), before employing the area-length formulation based on the ellipsoid single-plane model to …

abstract arxiv automated classification cs.cv development diagnosis failure heart failure measurement network networks neural network neural networks paper patients pipeline prediction type