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. 2018 Nov 14;9(6):915–924. doi: 10.1007/s13244-018-0657-7

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© The Author(s) 2018

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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.

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Fig. 1 — Example of texture analysis in MRI of rectal cancer performed with QUIBIM software (QUIBIM S.L., Valencia, Spain). The region of interest for the texture is defined by manual segmentation (1). The texture model is extracted by the software through a grey-level co-occurrence matrix analysis (2) that enables the extraction of a set of features that are shown in a structured report (3). The same region of interest can be used to extract other features based on intensity histogram, shape, and so on.