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. 2017 Feb 1;36(2):193–209. doi: 10.1177/0278364917691113

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© The Author(s) 2017

This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).

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Fig. 5. — Experimental evaluation and validation of image segmentation using a sequence of 600 ultrasound images. (a) Compares the performance between varying random sample consensus (RANSAC) iterations using a ground truth obtained by manual segmentation. (b) Describes the relation between the number of iterations and the localization error using a ground truth obtained after $10^{6}$ RANSAC iterations.