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Transesophageal Echocardiography Generation using Anatomical Models
Data augmentation is commonly used to tackle this issue.
Deep Learning for Multi-Level Detection and Localization of Myocardial Scars Based on Regional Strain Validated on Virtual Patients
In this work, we propose a single framework to predict myocardial disease substrates at global, territorial, and segmental levels using regional myocardial strain traces as input to a convolutional neural network (CNN)-based classification algorithm.
Graph Convolutional Neural Networks for Automated Echocardiography View Recognition: A Holistic Approach
Although deep learning techniques have been successful in achieving this, they still struggle with fully verifying the suitability of an image for specific measurements due to factors like the correct location, pose, and potential occlusions of cardiac structures.
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