Atrial Fibrillation Type Classification by a Convolutional Neural Network Using Contrast-Enhanced Computed Tomography Images

Atrial Fibrillation Type Classification by a Convolutional Neural Network Using Contrast-Enhanced Computed Tomography Images

Catheter ablation therapy, which is a treatment for atrial fibrillation (AF), has a higher recurrence rate as AF duration increases. Compared to paroxysmal AF (PAF), sustained AF is known to cause progressive anatomic remodeling of the left atrium, resulting in enlargement and shape changes. In this...

Full description

Saved in:
Bibliographic Details
Main Authors: Hina Kotani, Atsushi Teramoto, Tomoyuki Ohno, Yoshihiro Sobue, Eiichi Watanabe, Hiroshi Fujita
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Computers
Subjects:
atrial fibrillation
catheter ablation
classification
convolutional neural network
contrast-enhanced computed tomography
deep learning
Online Access:https://www.mdpi.com/2073-431X/13/12/309
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/2073-431X/13/12/309

Similar Items