Segmenting computed tomograms for cardiac ablation using machine learning leveraged by domain knowledge encoding

Segmenting computed tomograms for cardiac ablation using machine learning leveraged by domain knowledge encoding

BackgroundSegmentation of computed tomography (CT) is important for many clinical procedures including personalized cardiac ablation for the management of cardiac arrhythmias. While segmentation can be automated by machine learning (ML), it is limited by the need for large, labeled training data tha...

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Bibliographic Details
Main Authors: Ruibin Feng, Brototo Deb, Prasanth Ganesan, Fleur V. Y. Tjong, Albert J. Rogers, Samuel Ruipérez-Campillo, Sulaiman Somani, Paul Clopton, Tina Baykaner, Miguel Rodrigo, James Zou, Francois Haddad, Matei Zahari, Sanjiv M. Narayan
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-10-01
Series:Frontiers in Cardiovascular Medicine
Subjects:
cardiac CT segmentation
machine learning
mathematical modeling
domain knowledge
atrial fibrillation
ablation
Online Access:https://www.frontiersin.org/articles/10.3389/fcvm.2023.1189293/full

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https://www.frontiersin.org/articles/10.3389/fcvm.2023.1189293/full

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