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. 2010 Oct;1(4):328–334. doi: 10.1177/1947603510376819

Figure 2.

Figure 2.

An example to illustrate the meaning of the probabilistic measures and to provide a better intuitive understanding of the KNN classification is presented. (A) Example of the original T2w SPIR magnetic resonance images (MRI) containing a bone marrow lesion (BML). Using the KNN classification, a probability map of the BML is generated (B). Accordingly, a binary segmentation is generated (red) after applying the mean optimal threshold (C). This segmentation can be compared with the gold standard (green; D). (E) Shows the result after discarding blobs of less than 10 voxels (cyan).