A machine learning based algorithm accurately stages liver disease by quantification of arteries

A machine learning based algorithm accurately stages liver disease by quantification of arteries

Abstract A major histologic feature of cirrhosis is the loss of liver architecture with collapse of tissue and vascular changes per unit. We developed qVessel to quantify the arterial density (AD) in liver biopsies with chronic disease of varied etiology and stage. 46 needle liver biopsy samples wit...

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Bibliographic Details
Main Authors: Zhengxin Li, Xin Sun, Zhimin Zhao, Qiang Yang, Yayun Ren, Xiao Teng, Dean C. S. Tai, Ian R. Wanless, Jörn M. Schattenberg, Chenghai Liu
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Machine learning
Arterial density
Liver fibrosis
Chronic liver disease.
Online Access:https://doi.org/10.1038/s41598-025-87427-4
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https://doi.org/10.1038/s41598-025-87427-4

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