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. 2018 Jul 27;8:11359. doi: 10.1038/s41598-018-29653-7

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© The Author(s) 2018

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Image biomarker extraction from A549, MLS and A431 tumours. B-mode images were used to calculate first order statistics, textural features and wavelet-based features of the tumours. Morphological features characterizing the tumour vasculature were extracted from an automated blood vessel segmentation algorithm and its corresponding distance map. The scale bars correspond to 1 mm. Functional characteristics of the tumour vasculature were obtained by using the time intensity curves of the acquired contrast-enhanced ultrasound data.