Figure 3.

Performance results for LBP/C, Haralick and Gabor texture descriptors on the validation set (colorectal cancer images; n = 576). A linear classifier was optimized for each of the descriptors by computing the accuracy, AUC (area under the ROC curve) over a set of C values (Cost parameter) growing in exponential sequence C = 20,..., 220. The AUC was computed on block level. The selected C values based on the validation tests were: LBP/C; C = 300, Haralick features; C = 2048, and Gabor filters; C = 2

Linder et al. Diagnostic Pathology 2012 7:22   doi:10.1186/1746-1596-7-22
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