Automated Segmentation and Quantification of the Right Ventricle in 2-D Echocardiography
The right ventricle receives less attention than its left counterpart in echocardiography research, practice and development of automated solutions. In the work described here, we sought to determine that the deep learning methods for automated segmentation of the left ventricle in 2-D echocardiograms are also valid for the right ventricle. Additionally, here we describe and explore a keypoint detection approach to segmentation that guards against erratic behavior often displayed by segmentation models.
Source: Ultrasound in Medicine and Biology - Category: Radiology Authors: Artem Chernyshov, Jahn Frederik Grue, John Nyberg, Bj ørnar Grenne, Håvard Dalen, Svein Arne Aase, Andreas Østvik, Lasse Lovstakken Tags: Original Contribution Source Type: research