Two-Dimensional Aortic Size Normalcy: A Novelty Detection Approach

Two-Dimensional Aortic Size Normalcy: A Novelty Detection Approach

<b>Background:</b> To develop a tool for assessing normalcy of the thoracic aorta (TA) by echocardiography, based on either a linear regression model (Z-score), or a machine learning technique, namely one-class support vector machine (OC-SVM) (Q-score). <b>Methods:</b> TA dia...

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Bibliographic Details
Main Authors: Paolo Frasconi, Daniele Baracchi, Betti Giusti, Ada Kura, Gaia Spaziani, Antonella Cherubini, Silvia Favilli, Andrea Di Lenarda, Guglielmina Pepe, Stefano Nistri
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Diagnostics
Subjects:
echocardiography
thoracic aorta
machine learning
normalcy
Z-score
sinuses of Valsalva
Online Access:https://www.mdpi.com/2075-4418/11/2/220

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