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Abstract #2734

Automatic Myocardium Segmentation using Fully Conventional Network (FCN)

Yan Wang1, Peng Cao1, Karen Ordovas1, and Jing Liu1

1University of California, San Francisco, San Francisco, CA, United States

We introduce a new methodology that combines deep learning and level set for the automated segmentation of the myocardium from cardiac cine magnetic resonance (MR) data. The method employs deep learning algorithm to learn the segmentation task from the ground truth data. The inferred shape is incorporated into level set model to improve the accuracy and robustness of the segmentation.

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