Abstract 15172: Improving Cardiac Segmentation for Atrial Fibrillation Ablation: A Prospective Trial of Machine Learned Geometric Dissection vs Experts
Abstract:Introduction:
Segmenting cardiac computed tomography (CT) to provide anatomic guidance for Atrial Fibrillation (AF) ablation is routinely applied, but is time-consuming and prone to error. Machine learning (ML) is a powerful approach that could automate this approach, but is hindered by the small size of available labeled datasets.
Hypothesis:
We hypothesized that a new computational pipeline, in which an ML model is trained mathematically in a small co… Show more
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.