Fortschritte in der computergestützten quantitativen Nephropathologie
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00292-024-01300-1.pdf
Reference28 articles.
1. Barisoni L, Lafata KJ, Hewitt SM et al (2020) Digital pathology and computational image analysis in nephropathology. Nat Rev Nephrol 16:669–685
2. Barratt J, Feehally J (2006) Treatment of IgA nephropathy. Kidney Int 69:1934–1938
3. Bouteldja N, Klinkhammer BM, Bülow RD et al (2021) Deep learning-based segmentation and quantification in experimental kidney histopathology. J Am Soc Nephrol 32:52–68
4. Bülow RD, Hölscher DL, Costa IG, Boor P (2023) Extending the landscape of omics technologies by pathomics. NPJ Syst Biol Appl 9:38
5. Chen Y, Zee J, Janowczyk AR et al (2023) Clinical relevance of computationally derived attributes of peritubular capillaries from kidney biopsies. Kidney 4:648–658
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