Assessing Domain Adaptation Techniques for Mitosis Detection in Multi-scanner Breast Cancer Histopathology Images
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Springer International Publishing
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https://link.springer.com/content/pdf/10.1007/978-3-030-97281-3_2
Reference22 articles.
1. Aubreville, M., et al.: Mitosis domain generalization challenge (2021). https://doi.org/10.5281/zenodo.4573978
2. BenTaieb, A., Hamarneh, G.: Adversarial stain transfer for histopathology image analysis. IEEE Trans. Med. Imaging 37, 792–802 (2018). https://doi.org/10.1109/TMI.2017.2781228
3. Bertram, C.A., et al.: Computer-assisted mitotic count using a deep learning-based algorithm improves inter-observer reproducibility and accuracy in canine cutaneous mast cell tumors (2021). https://doi.org/10.1101/2021.06.04.446287
4. Ganesh, A., Vasanth, N.R., George, K.: Staining of histopathology slides using image style transfer algorithm (2019). https://doi.org/10.1109/SSCI.2018.8628672
5. Gatys, L., Ecker, A., Bethge, M.: A neural algorithm of artistic style. J. Vis. 16 (2016). https://doi.org/10.1167/16.12.326
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