LA-Net: A Multi-Task Deep Network for the Segmentation of the Left Atrium

Volume: 41, Issue: 2, Pages: 456 - 464
Published: Feb 1, 2022
Abstract
Although atrial fibrillation (AF) is the most common sustained atrial arrhythmia, treatment success for this condition remains suboptimal. Information from magnetic resonance imaging (MRI) has the potential to improve treatment efficacy, but there are currently few automatic tools for the segmentation of the atria in MR images. In the study, we propose a LA-Net, a multi-task network optimised to simultaneously generate left atrial segmentation...
Paper Details
Title
LA-Net: A Multi-Task Deep Network for the Segmentation of the Left Atrium
Published Date
Feb 1, 2022
Volume
41
Issue
2
Pages
456 - 464
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