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We propose a fully automatic method for cardiac right ventricle (RV) segmentation using image features, context information and semantic knowledge using graph cuts. A region of interest (ROI) is first identified and pixels within it are assigned labels (RV or background) using Random forest (RF) classifiers and graph cuts. Semantic information obtained from the trained RF classifiers is used to formulate...
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