Deep learning–based molecular morphometrics for kidney biopsies

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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Bibliographic Details
Main Authors: Marina Zimmermann, Martin Klaus, Milagros N. Wong, Ann-Katrin Thebille, Lukas Gernhold, Christoph Kuppe, Maurice Halder, Jennifer Kranz, Nicola Wanner, Fabian Braun, Sonia Wulf, Thorsten Wiech, Ulf Panzer, Christian F. Krebs, Elion Hoxha, Rafael Kramann, Tobias B. Huber, Stefan Bonn, Victor G. Puelles
Format: Article
Language:English
Published: American Society for Clinical investigation 2021-04-01
Series:JCI Insight
Subjects:
Nephrology
Online Access:https://doi.org/10.1172/jci.insight.144779

Internet

https://doi.org/10.1172/jci.insight.144779

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