Fig. 4
From: VISGAB: Virtual staining-driven GAN benchmarking for optimizing skin tissue histology
Virtually stained H&E-equivalent image patches generated by the respective staining frameworks are represented in three rows from top to bottom. The top row (a) shows the virtually stained patches generated by CycleGAN, with strong structural coherence, high distributional details, the lowest hallucinations, and excellent stain specificity. Middle row (b) depicts CUTGAN patches, demonstrating weak distributional details. The bottom row (c) depicts DCLGAN output patches with slightly lower artifacts and hallucinations than CUTGAN.
