Fig. 3: Comparison of spatial recurrence features in real and synthetic radical prostatectomy images. | npj Precision Oncology

Fig. 3: Comparison of spatial recurrence features in real and synthetic radical prostatectomy images.

From: Mitigating bias in prostate cancer diagnosis using synthetic data for improved AI driven Gleason grading

Fig. 3

A The distributions of spatial recurrence properties (in the first 6 Principal Components (PCs), which contain 82% of data variability) underlying different Gleason scores for both real and synthetic patches on Radical Prostatectomy. 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 six PCs (contain 82% of data variability). The distributions of this four PCs are similar between real and synthetic.

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