Structure preserving stain normalization of histopathology images using self supervised semantic guidance

Name: 7T MRI Seminar: Probing Brain Metabolism by Multi-nuclear Magnetic Resonance Spectroscopy: Technical Advances and Applications at 7T
Start: 2024-04-24
End: 2024-04-24
Location: Campus Biotech, room H8-01-D

AUTHORS: Mahapatra D, Bozorgtabar B, Thiran JP, Shao L

International Conference on Medical Image Computing and Computer-Assisted Intervention-MICCAI, : 309-319, Lima, Peru, October 2020

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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