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

BACKGROUND: Segmentation 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 t...

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Detalles Bibliográficos
Autores principales: Feng, Ruibin, Deb, Brototo, Ganesan, Prasanth, Tjong, Fleur V. Y., Rogers, Albert J., Ruipérez-Campillo, Samuel, Somani, Sulaiman, Clopton, Paul, Baykaner, Tina, Rodrigo, Miguel, Zou, James, Haddad, Francois, Zahari, Matei, Narayan, Sanjiv M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Cardiovascular Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10577270/
https://www.ncbi.nlm.nih.gov/pubmed/37849936
http://dx.doi.org/10.3389/fcvm.2023.1189293

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10577270/
https://www.ncbi.nlm.nih.gov/pubmed/37849936
http://dx.doi.org/10.3389/fcvm.2023.1189293

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