Automated Segmentation and Quantification of the Right Ventricle in 2-D Echocardiography-Reference-Cited by-同舟云学术

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Automated Segmentation and Quantification of the Right Ventricle in 2-D Echocardiography

Published:2024-04 Issue:4 Volume:50 Page:540-548
ISSN:0301-5629
Container-title:Ultrasound in Medicine & Biology
language:en
Short-container-title:Ultrasound in Medicine & Biology

Author:

Chernyshov Artem^ORCID,Grue Jahn Frederik,Nyberg John,Grenne Bjørnar,Dalen Håvard,Aase Svein Arne,Østvik Andreas,Lovstakken Lasse

Publisher

Elsevier BV

Reference22 articles.

1. Echocardiographic assessment of the right ventricle, from the conventional approach to speckle tracking and three-dimensional imaging, and insights into the “right way” to explore the forgotten chamber;Kossaify;Clin Med Insights Cardiol,2015

2. Anatomy, function, and dysfunction of the right ventricle: JACC State-of-the-Art Review;Sanz;J Am Coll Cardiol,2019

3. Right ventricular function in cardiovascular disease: part II;Haddad;Circulation,2008

4. The right ventricle in ARDS;Zochios;Chest,2017

5. Deep learning for segmentation using an open large-scale dataset in 2D echocardiography;Leclerc;IEEE Trans Med Imaging,2019

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Charting the rise of ONNX in swift image processing: a publications exploration;Real-Time Image Processing and Deep Learning 2024;2024-06-07

2. A Semi-Supervised Approach Combining Image and Frequency Enhancement for Echocardiography Segmentation;IEEE Access;2024

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