Prostate Cancer Histology Synthesis Using StyleGAN Latent Space Annotation
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-16434-7_39
Reference26 articles.
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2. Daroach, G., Yoder, J., Iczkowski, K., LaViolette, P.: High-resolution controllable prostatic histology synthesis using StyleGAN. In: Proceedings of the International Joint Conference on Biomedical Engineering Systems and Technologies (2021). https://doi.org/10.5220/0010393901030112
3. Epstein, D., Park, T., Zhang, R., Shechtman, E., Efros, A.A.: BlobGAN: Spatially disentangled scene representations. arXiv preprint arXiv:2205.02837 (2022)
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5. Feldman, V.: Does learning require memorization? A short tale about a long tail. In: Proceedings of the Symposium on Theory of Computing, pp. 954–959 (2020)
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