Automated Detection of Portal Fields and Central Veins in Whole-Slide Images of Liver Tissue

Automated Detection of Portal Fields and Central Veins in Whole-Slide Images of Liver Tissue

Many physiological processes and pathological phenomena in the liver tissue are spatially heterogeneous. At a local scale, biomarkers can be quantified along the axis of the blood flow, from portal fields (PFs) to central veins (CVs), i.e., in zonated form. This requires detecting PFs and CVs. Howev...

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Bibliographic Details
Main Authors: Daniel Budelmann, Hendrik Laue, Nick Weiss, Uta Dahmen, Lorenza A. D’Alessandro, Ina Biermayer, Ursula Klingmüller, Ahmed Ghallab, Reham Hassan, Brigitte Begher-Tibbe, Jan G. Hengstler, Lars Ole Schwen
Format: Article
Language:English
Published: Elsevier 2022-01-01
Series:Journal of Pathology Informatics
Subjects:
liver
portal field
central vein
object detection
convolutional neural network
zonated quantification
Online Access:http://www.sciencedirect.com/science/article/pii/S2153353922000013

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http://www.sciencedirect.com/science/article/pii/S2153353922000013

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