Artificial Intelligence in Kidney Pathology-Reference-Cited by-同舟云学术

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Artificial Intelligence in Kidney Pathology

Published:2021 Issue: Volume: Page:1-11
ISSN:
Container-title:Artificial Intelligence in Medicine
language:
Short-container-title:

Author:

Noriaki Sato,Eiichiro Uchino,Yasushi Okuno

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-58080-3_181-1

Reference41 articles.

1. Jayapandian CP, Chen Y, Janowczyk AR, Palmer MB, Cassol CA, Sekulic M, et al. Development and evaluation of deep learning-based segmentation of histologic structures in the kidney cortex with multiple histologic stains. Kidney Int. 2021;99(1):86–101. https://doi.org/10.1016/j.kint.2020.07.044.

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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