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ViT-Stain: Vision transformer-driven virtual staining for skin histopathology via global contextual learning

Fig 5

Quantitative results for perceptual and distributional metrics across two image distributions are shown from left to right.

The left image (a) displays quantitative results between unstained vs virtually generated patches, while the right image (b) highlights the same comparison between H&E vs virtually generated patches using the respective staining frameworks.

Fig 5

doi: https://doi.org/10.1371/journal.pone.0341311.g005