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. 2012 Aug 16;11:48. doi: 10.1186/1475-925X-11-48

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Copyright ©2012 Koprowski et al.; licensee BioMed Central Ltd.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Full decision tree. The resultant decision tree formed for all features. „KON” and „HAS” values stand for the classification result – healthy, sick person, respectively. This is one of many decision trees created during the analysis of “ w” features significance level. The feature w(2) related to the regional minimum value in the Ls image is in the first node of the decision tree. Next, in the subsequent nodes, there are the features w(6) and w(8) associated with the neighbourhood matrix L_GLCM and the square-tree decomposition of the image Ls. Subsequent nodes are associated with the other features w(1), w(3), w(4), w(5), w(7), w(9) and w(10).