Back

Automated classification of 2D grayscale and color doppler echocardiographic views using deep learning: feasibility and accuracy assessment

29 August 2025 (07:00 - 18:00)
Organised by: Logo
Congress Presentation Part of: Echocardiographic quantification of cardiac function Technology ESC Professional Premium Access ESC Congress 2025 European Society of Cardiology

About the speaker

Photo
Doctor Yufei Cheng

Zhongshan Hospital Fudan University, Shanghai (China)

5 More presentations in this session

Presentation thumbnail
Normal variations in left ventricular shape from 3D echocardiography: insights from the WASE study
Doctor D. Zhao (Auckland, NZ)
Abstract Slides
Presentation thumbnail
Defining echocardiographic norms in pregnancy: a large longitudinal study of cardiometabolic complications
Doctor F. Piani (Graz, AT)
Abstract Slides
Presentation thumbnail
Comparing the prognostic efficacy of 2D and 3D left atrial emptying fraction for the prediction of heart failure in the general population
Doctor M. Yafasov (Hellerup, DK)
Abstract Slides
Presentation thumbnail
Noninvasive biventricular myocardial work analysis by pressure-strain-volume loops for assessing supernormal systolic function in athletes at rest
Doctor A. Ferencz (Budapest, HU)
Abstract Slides
Presentation thumbnail
Threshold values for diastolic dysfunction parameters indicative of increased mortality risk in a real-world patient cohort
Doctor I. Loewenstein (Tel Aviv, IL)
Abstract Slides

Access the full session

Session thumbnail
Echocardiographic quantification of cardiac function
Video

The Event

Event poster

ESC Congress 2025

29 August - 1 September 2025
You may be interested in
thumbnail
Congress Presentation
Validation of a fully automated AI system for accurate left ventricular mass measurement in echocardiography
thumbnail
Congress Presentation
Artificial intelligence: is it the key to improve access to echocardiography services?
thumbnail
Congress Presentation
Speeding up echocardiographic examination by automated generation of 2D imaging views from 3D volumetric data using machine learning

ESC 365 is supported by

novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources