Keywords: Heart, HeartCardiac Magnetic Resonance(CMR) imaging is an advanced cardiovascular imaging modality to evaluate cardiac structure and function. Therefore, the accuracy of segmentation directly affects the clinical evaluation and diagnosis. In this study, we used Long Short-Term Memory(LSTM) network, proposing a novel deep learning-based model for accurate automated bi-ventricle segmentation of CMR images.
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