Chronic cholestasis detection by a novel tool: automated analysis of cytokeratin 7-stained liver specimens

Chronic cholestasis detection by a novel tool: automated analysis of cytokeratin 7-stained liver specimens

Abstract Background The objective was to build a novel method for automated image analysis to locate and quantify the number of cytokeratin 7 (K7)-positive hepatocytes reflecting cholestasis by applying deep learning neural networks (AI model) in a cohort of 210 liver specimens. We aimed to study th...

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Bibliographic Details
Main Authors: Nelli Sjöblom, Sonja Boyd, Anniina Manninen, Anna Knuuttila, Sami Blom, Martti Färkkilä, Johanna Arola
Format: Article
Language:English
Published: BMC 2021-05-01
Series:Diagnostic Pathology
Subjects:
Artificial intelligence
AI model
Machine learning
Primary sclerosing cholangitis
Cholestasis
Liver histology
Online Access:https://doi.org/10.1186/s13000-021-01102-6

Internet

https://doi.org/10.1186/s13000-021-01102-6

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