Deep learning-based method for grading histopathological liver fibrosis in rodent models of metabolic dysfunction-associated steatohepatitis

Deep learning-based method for grading histopathological liver fibrosis in rodent models of metabolic dysfunction-associated steatohepatitis

IntroductionMetabolic dysfunction-associated steatohepatitis (MASH) is a significant liver disease that can lead to cirrhosis and liver cancer. Accurate assessment of liver fibrosis is crucial for diagnosis, prognosis, and informed treatment decision-making. Staging of liver fibrosis in MASH is base...

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Main Authors: Soo Min Ko, Jae-ik Shin, Yiyu Hong, Hyunji Kim, Insuk Sohn, Ji-Young Lee, Hyo-Jeong Han, Da Som Jeong, Yerin Lee, Woo-Chan Son
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-07-01
Series:Frontiers in Medicine
Subjects:
artificial intelligence
deep learning
metabolic dysfunction-associated steatohepatitis
liver fibrosis
histopathology
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2025.1629036/full
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https://www.frontiersin.org/articles/10.3389/fmed.2025.1629036/full

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