Publisher
Springer Nature Switzerland
Reference17 articles.
1. Bai, B., Yang, X., Li, Y., Zhang, Y., Pillar, N., Ozcan, A.: Deep learning-enabled virtual histological staining of biological samples. Light: Sci. Appl. 12(1), 57 (2023)
2. de Bel, T., Hermsen, M., Kers, J., van der Laak, J., Litjens, G.: Stain-transforming cycle-consistent generative adversarial networks for improved segmentation of renal histopathology (2018)
3. Chen, H., Yan, S., Xie, M., Huang, J.: Application of cascaded GAN based on CT scan in the diagnosis of aortic dissection. Comput. Methods Programs Biomed. 226, 107130 (2022). https://doi.org/10.1016/j.cmpb.2022.107130, https://www.sciencedirect.com/science/article/pii/S0169260722005119
4. Cheng, Y., Gan, Z., Li, Y., Liu, J., Gao, J.: Sequential attention GAN for interactive image editing. In: Proceedings of the 28th ACM International Conference on Multimedia, pp. 4383–4391 (2020)
5. Collins, E., Bala, R., Price, B., Susstrunk, S.: Editing in style: uncovering the local semantics of GANs. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 5771–5780 (2020)
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