
An ensemble of deep learning models, including UNet, ResNet, EfficientNet, and VGG, achieves superior performance in segmenting the left and right atria and their walls from late gadolinium-enhanced cardiac MRI data of atrial fibrillation patients.


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Ensemble of Deep Learning Models for Accurate Segmentation of Left and Right Atria in Late Gadolinium-Enhanced Cardiac MRI of Atrial Fibrillation Patients
