HE-to-PAS histological stain conversion by GAN in renal pathology

This paper presents the evaluation of the accurateness of an automatic HE to PAS stain conversion. We collected the unique HE-PAS (stain and restain specimens) database of renal specimens, and we have developed and compared a set of GAN methods for the automatic staining conversion. The detailed evaluation includes 10 numerical metrics and a visual evaluation, which was performed to investigate and closely look at the accuracy of an automatic stain transformation. The main contribution and novelty of this paper is the multi-aspect evaluation of the accurateness of staining transformation using a unique HE-PAS stain-restain dataset. Achieved results show that an automatic HE to PAS staining conversion achieved Frechet Inception Distance (FID) metric below 7, whereas visual evaluation is up to 96%. Presented analysis and results give insights into possibilities to build automatic stain transformations tools to replace the need of performing manual staining.

Automated summary

This paper presents the evaluation of the accuracy of an automatic HE to PAS stain conversion, using a unique HE-PAS database for renal specimens. The evaluation includes numerical metrics and visual assessment, showing high accuracy in both aspects. The results provide insights into the potential of automatic stain transformations as a replacement for manual staining.