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A Generative Adversarial Model for Right Ventricle Segmentation
The clinical management of several cardiovascular conditions, such as pulmonary hypertension, require the assessment of the right ventricular (RV) function.
Automated segmentation on the entire cardiac cycle using a deep learning work-flow
Our initial experiments suggest that significant improvement in performance can potentially be achieved by using a recurrent neural network component that explicitly learns cardiac motion patterns whilst performing LV segmentation.
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