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Automated cardiac segmentation from magnetic resonance imaging datasets is an essential step in the timely diagnosis and management of cardiac pathologies.
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An image-based comprehensive approach for automatic segmentation of left ventricle from cardiac short axis cine MR images
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Myocardial segmentation using contour-constrained optical flow tracking
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Segmentation of RV in 4D cardiac MR volumes using Region-Merging Graph Cuts
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Multi-atlas segmentation of the cardiac MR right ventricle
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A simple and fully automatic right ventricle segmentation method for 4-dimensional cardiac MR images
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A probabilistic patch-based label fusion model for multi-atlas segmentation with registration refinement: Application to cardiac MR images
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How transferable are features in deep neural networks?
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Faster R-CNN: Towards real-time object detection with Region Proposal Networks
Ren, S., He K., Girshick R., Sun J. 2016 · 2016
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