Electrical Engineering and Systems Science > Image and Video Processing
[Submitted on 1 Sep 2022 (v1), last revised 26 Oct 2022 (this version, v2)]
Title:Adversarial Stain Transfer to Study the Effect of Color Variation on Cell Instance Segmentation
View PDFAbstract:Stain color variation in histological images, caused by a variety of factors, is a challenge not only for the visual diagnosis of pathologists but also for cell segmentation algorithms. To eliminate the color variation, many stain normalization approaches have been proposed. However, most were designed for hematoxylin and eosin staining images and performed poorly on immunohistochemical staining images. Current cell segmentation methods systematically apply stain normalization as a preprocessing step, but the impact brought by color variation has not been quantitatively investigated yet. In this paper, we produced five groups of NeuN staining images with different colors. We applied a deep learning image-recoloring method to perform color transfer between histological image groups. Finally, we altered the color of a segmentation set and quantified the impact of color variation on cell segmentation. The results demonstrated the necessity of color normalization prior to subsequent analysis.
Submission history
From: Huaqian Wu [view email][v1] Thu, 1 Sep 2022 16:57:54 UTC (3,501 KB)
[v2] Wed, 26 Oct 2022 09:04:10 UTC (3,615 KB)
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