Three-dimensional CT texture analysis of anatomic liver segments can differentiate between low-grade and high-grade fibrosis

Three-dimensional CT texture analysis of anatomic liver segments can differentiate between low-grade and high-grade fibrosis

Abstract Background CT texture analysis (CTTA) has been successfully used to assess tissue heterogeneity in multiple diseases. The purpose of this work is to demonstrate the value of three-dimensional CTTA in the evaluation of diffuse liver disease. We aimed to develop CTTA based prediction models,...

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Bibliographic Details
Main Authors: Bettina Katalin Budai, Ambrus Tóth, Petra Borsos, Veronica Grace Frank, Sonaz Shariati, Bence Fejér, Anikó Folhoffer, Ferenc Szalay, Viktor Bérczi, Pál Novák Kaposi
Format: Article
Language:English
Published: BMC 2020-09-01
Series:BMC Medical Imaging
Subjects:
Machine learning
Texture analysis
Liver fibrosis
Computed tomography
Prediction model
Radiomics
Online Access:http://link.springer.com/article/10.1186/s12880-020-00508-w

Internet

http://link.springer.com/article/10.1186/s12880-020-00508-w

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