Fig. 10

a The unsupervised clustering (k = 2) utilizing the histomorphometric signature learnt based on Experiments 1 and 2 (distinguishing low from high ODx risk categories, distinguishing intermediate from high ODx risk categories, and distinguishing low plus intermediate from high ODx risk categories). b Distribution of outcome of patients in cluster 1 and cluster 2 identified from unsupervised clustering. c Feature distribution (CORE: mean information measure 1) for the patients without recurrence/progression and patients with progression to invasive breast cancer. The red lines in the plots represent the median of each population, and the upper and lower box bounds correspond to the 25th and 75th percentiles of the feature value distribution