Artificial Intelligence in Kidney Pathology
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-64573-1_181
Reference41 articles.
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2. Bellur SS, Roberts ISD, Troyanov S, Royal V, Coppo R, Cook HT, et al. Reproducibility of the Oxford classification of immunoglobulin A nephropathy, impact of biopsy scoring on treatment allocation and clinical relevance of disagreements: evidence from the VALidation of IGA study cohort. Nephrol Dial Transplant. 2019;34(10):1681–90. https://doi.org/10.1093/ndt/gfy337.
3. Barisoni L, Troost JP, Nast C, Bagnasco S, Avila-Casado C, Hodgin J, et al. Reproducibility of the NEPTUNE descriptor-based scoring system on whole-slide images and histologic and ultrastructural digital images. Mod Pathol. 2016;29(7):671–84. https://doi.org/10.1038/modpathol.2016.58.
4. Loupy A, Haas M, Roufosse C, Naesens M, Adam B, Afrouzian M, et al. The Banff 2019 Kidney Meeting Report (I): Updates on and clarification of criteria for T cell- and antibody-mediated rejection. Am J Transplant. 2020;20(9):2318–31. https://doi.org/10.1111/ajt.15898.
5. Samsi S, Jarjour WN, Krishnamurthy A. Glomeruli segmentation in H&E stained tissue using perceptual organization. In: 2012 IEEE Signal Processing in Medicine and Biology Symposium (SPMB). 2012. p. 1–5. https://doi.org/10.1109/SPMB.2012.6469464.
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