Fig. 4: Validation of spatial recurrence consistency in synthetic needle biopsy images.

A The distributions of spatial recurrence properties (in the first 16 Principal Components (PCs), which contain 80% of data variability) underlying different Gleason scores for both real and synthetic patches on Needle Biopsy. Note that the purple lines indicate the mean values of each feature, and the gray area shows the 95% confidence interval. Our results indicate that while the distributions of spatial properties are closely aligned between real and synthetic images under the same Gleason Score, they markedly differ when comparing different Gleason Scores. B The comparison of spatial recurrence properties between real and synthetic on the first eight PCs (contain 70% of data variability). The distributions of this four PCs are similar between real and synthetic.