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Many computer vision applications can be formulated as labeling problems. However, multilabeling problems are usually very challenging to solve, especially when some ordering constraints are enforced. We solve in this paper a five-parts labeling problem proposed in [6, 7]. In this model, one wants to find an optimal labeling for an image with five possible parts: “left”, “right”, “top”, “bottom” and...
Organ labeling involves estimating approximate organ locations from medical images and has several traditional and emerging applications. The organ labels can serve as initialization for automatic and fast image processing, provide additional information for image data mining and retrieval, and assist fast image navigation and workflow on radiology workstations. The problem is made difficult by variability...
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