Fig. 1: Overview of synthetic image generation workflow from prostate cancer histology. | npj Precision Oncology

Fig. 1: Overview of synthetic image generation workflow from prostate cancer histology.

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

Fig. 1

A Illustration showing pipeline used in generating synthetic images from prostate cancer digital histology. Images were preprocessed by PyHist and HistoQC. Those that passed QC were then given to pathologist for scoring, and then cut into small patches for modeling. B Original and Synthetic images were generated for each primary Gleason pattern 3, 4, and 5, respectively.

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