Accuracy of Deep Learning Echocardiographic View Classification in Patients with Congenital or Structural Heart Disease: Importance of Specific Datasets

Accuracy of Deep Learning Echocardiographic View Classification in Patients with Congenital or Structural Heart Disease: Importance of Specific Datasets

Introduction: Automated echocardiography image interpretation has the potential to transform clinical practice. However, neural networks developed in general cohorts may underperform in the setting of altered cardiac anatomy. Methods: Consecutive echocardiographic studies of patients with congenital...

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Bibliographic Details
Main Authors: Felix K. Wegner, Maria L. Benesch Vidal, Philipp Niehues, Kevin Willy, Robert M. Radke, Philipp D. Garthe, Lars Eckardt, Helmut Baumgartner, Gerhard-Paul Diller, Stefan Orwat
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Journal of Clinical Medicine
Subjects:
deep learning
neural network
structural heart disease
congenital heart disease
echocardiography
Online Access:https://www.mdpi.com/2077-0383/11/3/690

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https://www.mdpi.com/2077-0383/11/3/690

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