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In this paper, we present a method of using the needle detection and tracking to compensate breathing motion in 2D fluoroscopic videos. The method can robustly detect and tracking needles, even with the presence of image noises and large needle movements. The method first introduces an offline learned needle segment detector that detects needle segments at individual frames. Based on detected needle...
In this paper, we present a novel probabilistic framework for automatic follicle quantification in 3D ultrasound data. The proposed framework robustly estimates size and location of each individual ovarian follicle by fusing the information from both global and local context. Follicle candidates at detected locations are then segmented by a novel database guided segmentation method. To efficiently...
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