Deep learning-based quantification of NAFLD/NASH progression in human liver biopsies

Deep learning-based quantification of NAFLD/NASH progression in human liver biopsies

Abstract Non-alcoholic fatty liver disease (NAFLD) affects about 24% of the world's population. Progression of early stages of NAFLD can lead to the more advanced form non-alcoholic steatohepatitis (NASH), and ultimately to cirrhosis or liver cancer. The current gold standard for diagnosis and...

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Bibliographic Details
Main Authors: Fabian Heinemann, Peter Gross, Svetlana Zeveleva, Hu Sheng Qian, Jon Hill, Anne Höfer, Danny Jonigk, Anna Mae Diehl, Manal Abdelmalek, Martin C. Lenter, Steven S. Pullen, Paolo Guarnieri, Birgit Stierstorfer
Format: Article
Language:English
Published: Nature Portfolio 2022-11-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-022-23905-3

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https://doi.org/10.1038/s41598-022-23905-3

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