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Structure Preserving Stain Normalization of Histopathology Images Using Self-Supervised Semantic Guidance

2020-08-05 12:59:15
Dwarikanath Mahapatra, Behzad Bozorgtabar, Jean-Philippe Thiran, Ling Shao
arXiv_CV
               
Abstract

Although generative adversarial network (GAN) based style transfer is state of the art in histopathology color-stain normalization, they do not explicitly integrate structural information of tissues. We propose a self-supervised approach to incorporate semantic guidance into a GAN based stain normalization framework and preserve detailed structural information. Our method does not require manual segmentation maps which is a significant advantage over existing methods. We integrate semantic information at different layers between a pre-trained semantic network and the stain color normalization network. The proposed scheme outperforms other color normalization methods leading to better classification and segmentation performance.

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URL

https://arxiv.org/abs/2008.02101

PDF

https://arxiv.org/pdf/2008.02101.pdf

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