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Generative Adversarial Networks in Digital Pathology and Histopathological Image Processing: A Review

Laya Jose1,2, Sidong Liu1,3, Carlo Russo1

  • 1Computational NeuroSurgery (CNS) Lab, Macquarie Medical School, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, Australia.

Journal of Pathology Informatics
|December 9, 2021
PubMed
Summary

Generative adversarial networks (GANs) are revolutionizing digital pathology by improving histopathological image processing. This review highlights GAN applications in tasks like stain normalization, virtual staining, and nuclei segmentation, paving the way for future informatics research.

Keywords:
Artificial intelligencedeep learningdigital pathologygenerative adversarial networkshistopathologyimage processingwhole-slide imaging

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