May 28, 2023 · The RRAGAN method achieved the highest results in stain normalization compared to the five state-of-the art methods with a large margin in terms of PSNR, SSIM, ...
May 28, 2023 · The RRAGAN method achieved the highest results in stain normalization compared to the five state-of-the art methods with a large margin in terms ...
Regional realness-aware generative adversarial networks for stain normalization · List of references · Publications that cite this publication.
Aug 18, 2023 · Bibliographic details on Regional realness-aware generative adversarial networks for stain normalization.
The proposed Regional Realness-Aware Generative Adversarial Networks (RRAGAN) model achieved the highest results in stain normalization compared to the five ...
Mar 6, 2024 · In this chapter, we explore different techniques which have been used for stain normalisation in digital pathology, with a focus on approaches ...
In this paper, we introduce a colour adaptive generative network (CAGAN) for stain normalisation which combines both supervised learning from target domain and ...
Missing: realness- aware
Mar 6, 2024 · We explore different techniques which have been used for stain normalisation in digital pathology, with a focus on approaches which utilise generative ...
Missing: aware | Show results with:aware
A novel GAN-based normalization for Gram stain clinical sample images is proposed. Images with contrast, illumination, and stain variations are addressed.
Missing: realness- | Show results with:realness-
Oct 25, 2023 · In digital histopathology, GANs have been used for image enhancement, such as color (stain) normalization, virtual staining, and ink/marker ...