愉快吗
发表于 2025-3-25 06:49:49
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方便
发表于 2025-3-25 08:59:15
Left Atrial Appendage Segmentation Based on Ranking 2-D Segmentation Proposalsained to pick out the best 2-D proposal for each slice. Finally all selected 2-D proposals are merged into a 3-D model using spatial continuity. Experimental results on 60 CTA data showed that our approach was robust when dealing with large anatomical variations. Compared to manual annotation, we obtained an average dice overlap of 95.12%.
Fierce
发表于 2025-3-25 12:21:18
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mendacity
发表于 2025-3-25 19:13:22
Integrating Atlas and Graph Cut Methods for Left Ventricle Segmentation from Cardiac Cine MRI to the shape prior obtained by label propagation from an average atlas using affine registration. The proposed framework has been validated on 30 patient cardiac cine MRI datasets available through the STACOM LV segmentation challenge and yielded fast, robust, and accurate segmentation results.
裂缝
发表于 2025-3-25 23:38:20
Segmentation and Tracking of Myocardial Boundaries Using Dynamic Programmingag grid location is incorporated into the cost function to get more robust results. 3D+t segmentation of patient data is achieved by propagating contours spatially and temporally. The method is ideal as a pre-processing step in motion quantification and strain rate mapping algorithms.
字的误用
发表于 2025-3-26 03:21:22
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chisel
发表于 2025-3-26 06:55:38
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下级
发表于 2025-3-26 10:33:02
Standardised Framework to Study the Influence of Left Atrial RF Catheter Ablation Parameters on Permhat we propose to use a standardised unfold map that allows us to directly compare atria with different shapes at different time-points and with different types of information. We tested the method in 8 real cases showing that it facilitates the analysis and comparison of the ablation related parameters with the outcome of the procedure.
languid
发表于 2025-3-26 15:13:48
Novel Looped-Catheter-Based 2D-3D Registration Algorithm for MR, 3DRx and X-Ray Images: Validation Sporcine heart. In this experiment, accuracy was demonstrated to be within the 5-mm clinical requirement. On average, the algorithm could register images with a mean target registration error (TRE) of 4.6-mm when using two X-rays (biplane), and a mean reprojection distance (RPD) of 1.9 mm using a single view (monoplane).
反应
发表于 2025-3-26 19:07:25
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