Figure 7From: Large-scale computations on histology images reveal grade-differentiating parameters for breast cancer Classification error analysis of the four classifiers in the LNKNET (linear, quadratic, neural network, and decision tree) in our testing data. Classifiers were trained based on the two selected grade-differentiating features (DNM3 and DT) and their correlation to Histologic grade assigned by the two pathologists.Back to article page