A style-aware network based on multi-task learning for multi-domain image normalization-Reference-Cited by-同舟云学术

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A style-aware network based on multi-task learning for multi-domain image normalization

Published:2024-05-12 Issue: Volume: Page:
ISSN:0178-2789
Container-title:The Visual Computer
language:en
Short-container-title:Vis Comput

Author:

Zhao Jing,He Yong-jun,Shi Zheng,Qin Jian,Xie Yi-ning^ORCID

Funder

National funded postdoctoral researcher program

the Harbin Science and Technology Bureau Manufacturing Innovation Talent Project

the Heilongjiang Science and Technology Department Provincial Key R &D Program Applied Research Project

the Heilongjiang Science and Technology Department Provincial Key R &D Program Guidance Project

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s00371-024-03363-w.pdf

Reference32 articles.

1. BenTaieb, A., Hamarneh, G.: Adversarial stain transfer for histopathology image analysis. IEEE Trans. Med. Imaging 37(3), 792–802 (2017)

2. Chen, X., Yu, J., Cheng, S., Geng, X., Liu, S., Han, W., Hu, J., Chen, L., Liu, X., Zeng, S.: An unsupervised style normalization method for cytopathology images. Comput. Struct. Biotechnol. J. 19, 3852–3863 (2021)

3. Choi, Y., Choi, M., Kim, M., Ha, J.-W., Kim, S., Choo, J.: Stargan: unified generative adversarial networks for multi-domain image-to-image translation. In Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 8789–8797 (2018)

4. Cong, C., Liu, S., Di Ieva, A., Pagnucco, M., Berkovsky, S., Song, Y.: Texture enhanced generative adversarial network for stain normalisation in histopathology images. In 2021 IEEE 18th international symposium on biomedical imaging (ISBI). IEEE, pp. 1949–1952 (2021)

5. Cong, C., Liu, S., Di Ieva, A., Pagnucco, M., Berkovsky, S., Song, Y.: Colour adaptive generative networks for stain normalisation of histopathology images. Med. Image Anal. 82, 102580 (2022)

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