Assessing the Accuracy of an Artificial Intelligence-Based Segmentation Algorithm for the Thoracic Aorta in Computed Tomography Applications

Assessing the Accuracy of an Artificial Intelligence-Based Segmentation Algorithm for the Thoracic Aorta in Computed Tomography Applications

The aim was to evaluate the accuracy of a prototypical artificial intelligence-based algorithm for automated segmentation and diameter measurement of the thoracic aorta (TA) using CT. One hundred twenty-two patients who underwent dual-source CT were retrospectively included. Ninety-three of these pa...

Full description

Bibliographic Details
Main Authors: Christoph Artzner, Malte N. Bongers, Rainer Kärgel, Sebastian Faby, Gerald Hefferman, Judith Herrmann, Svenja L. Nopper, Regine M. Perl, Sven S. Walter
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Diagnostics
Subjects:
spiral computed tomography
dimensional measurement accuracy
artificial intelligence
software
thoracic aorta
Online Access:https://www.mdpi.com/2075-4418/12/8/1790

Internet

https://www.mdpi.com/2075-4418/12/8/1790

Similar Items