Revealing Unforeseen Diagnostic Image Features With Deep Learning by Detecting Cardiovascular Diseases From Apical 4‐Chamber Ultrasounds

Revealing Unforeseen Diagnostic Image Features With Deep Learning by Detecting Cardiovascular Diseases From Apical 4‐Chamber Ultrasounds

Background With the increase of highly portable, wireless, and low‐cost ultrasound devices and automatic ultrasound acquisition techniques, an automated interpretation method requiring only a limited set of views as input could make preliminary cardiovascular disease diagnoses more accessible. In th...

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Bibliographic Details
Main Authors: Li‐Hsin Cheng, Pablo B. J. Bosch, Rutger F. H. Hofman, Timo B. Brakenhoff, Eline F. Bruggemans, Rob J. van der Geest, Eduard R. Holman
Format: Article
Language:English
Published: Wiley 2022-08-01
Series:Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease
Subjects:
3‐dimensional convolutional neural network
aortic valve regurgitation
apical 4‐chamber cineloop
echocardiography
explainable artificial intelligence
impaired left ventricular function
Online Access:https://www.ahajournals.org/doi/10.1161/JAHA.121.024168

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