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• W3204604013 abstract "<italic xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>Objective:</i> In this paper, Keypoint Localization Region-based CNN (KL R-CNN) is proposed, which can simultaneously accomplish the guidewire detection and endpoint localization in a unified model. <italic xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>Methods:</i> KL R-CNN modifies Mask R-CNN by replacing the mask branch with a novel keypoint localization branch. Besides, some settings of Mask R-CNN are also modified to generate the keypoint localization results at a higher detail level. At the same time, based on the existing metrics of Average Precision (AP) and Percentage of Correct Keypoints (PCK), a new metric named AP <sup xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>PCK</sup> is proposed to evaluate the overall performance on the multi-guidewire endpoint localization task. Compared with existing metrics, AP <sup xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>PCK</sup> is easy to use and its results are more intuitive. <italic xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>Results:</i> Compared with existing methods, KL R-CNN has better performance when the threshold is loose, reaching a mean AP <sup xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>PCK</sup> of 90.65% when the threshold is 9 pixels. <italic xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>Conclusion:</i> KL R-CNN achieves the state-of-the-art performance on the multi-guidewire endpoint localization task and has application potentials. <italic xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>Significance:</i> KL R-CNN can achieve the localization of guidewire endpoints in fluoroscopy images, which is a prerequisite for computer-assisted percutaneous coronary intervention. KL R-CNN can also be extended to other multi-instrument localization tasks." @default.
• W3204604013 created "2021-10-11" @default.
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• W3204604013 date "2022-04-01" @default.
• W3204604013 modified "2023-10-16" @default.
• W3204604013 title "A Unified Framework for Multi-Guidewire Endpoint Localization in Fluoroscopy Images" @default.
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• W3204604013 doi "https://doi.org/10.1109/tbme.2021.3118001" @default.
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