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Found 3 papers, 1 papers with code
An Automatic Cardiac Segmentation Framework based on Multi-sequence MR Image
A CNN segmentation model was trained based on the augmented training data by leave-one-out strategy.
Multi-Depth Fusion Network for Whole-Heart CT Image Segmentation
Obtaining precise whole-heart segmentation from computed tomography (CT) or other imaging techniques is prerequisite to clinically analyze the cardiac status, which plays an important role in the treatment of cardiovascular diseases.
Focus On What's Important: Self-Attention Model for Human Pose Estimation
In this work, we proposed a convolutional network architecture combined with the novel attention model.
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