Combining Hepatic and Splenic CT Radiomic Features Improves Radiomic Analysis Performance for Liver Fibrosis Staging

Combining Hepatic and Splenic CT Radiomic Features Improves Radiomic Analysis Performance for Liver Fibrosis Staging

<b><i>Background:</i></b> The exact focus of computed tomography (CT)-based artificial intelligence techniques when staging liver fibrosis is still not exactly known. This study aimed to determine both the added value of splenic information to hepatic information, and the cor...

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Bibliographic Details
Main Authors: Yunchao Yin, Derya Yakar, Rudi A. J. O. Dierckx, Kim B. Mouridsen, Thomas C. Kwee, Robbert J. de Haas
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Diagnostics
Subjects:
liver
artificial intelligence
machine learning
radiomics
multidetector computed tomography
Online Access:https://www.mdpi.com/2075-4418/12/2/550

Internet

https://www.mdpi.com/2075-4418/12/2/550

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