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Tracking of the lung tumor movement in fluoroscopic video sequences is clinically significant and challenging problem due to the blurred appearance, sternum occlusion, and complicate intra- and inter- fractional motion. This introduces landmark ambiguity for accurate contour tracking. As the boundary of the lung, or part of the lung, is usually clear and can be accurately tracked, we propose a novel...
Accurate tracking of tumor movement in fluoroscopic video sequences is a clinically significant and challenging problem. This is due to blurred appearance, unclear deforming shape, complicate intra- and inter- fractional motion, and other facts. Current offline tracking approaches are not adequate because they lack adaptivity and often require a large amount of manual labeling. In this paper, we present...
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