Deep learning–based molecular morphometrics for kidney biopsies

Morphologic examination of tissue biopsies is essential for histopathological diagnosis. However, accurate and scalable cellular quantification in human samples remains challenging. Here, we present a deep learning–based approach for antigen-specific cellular morphometrics in human kidney biopsies,...

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Detalles Bibliográficos
Autores principales: Zimmermann, Marina, Klaus, Martin, Wong, Milagros N., Thebille, Ann-Katrin, Gernhold, Lukas, Kuppe, Christoph, Halder, Maurice, Kranz, Jennifer, Wanner, Nicola, Braun, Fabian, Wulf, Sonia, Wiech, Thorsten, Panzer, Ulf, Krebs, Christian F., Hoxha, Elion, Kramann, Rafael, Huber, Tobias B., Bonn, Stefan, Puelles, Victor G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Clinical Investigation 2021
Materias:
Technical Advance
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8119189/
https://www.ncbi.nlm.nih.gov/pubmed/33705360
http://dx.doi.org/10.1172/jci.insight.144779

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8119189/
https://www.ncbi.nlm.nih.gov/pubmed/33705360
http://dx.doi.org/10.1172/jci.insight.144779

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