Differentiation of Intrahepatic Cholangiocarcinoma and Hepatic Lymphoma Based on Radiomics and Machine Learning in Contrast-Enhanced Computer Tomography
Purpose: This study aimed to explore the ability of texture parameters combining with machine learning methods in distinguishing intrahepatic cholangiocarcinoma (ICCA) and hepatic lymphoma (HL). Method: A total of 28 patients with HL and 101 patients with ICCA were included. A total of 45 texture fe...
Main Authors: | , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
SAGE Publishing
2021-09-01
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Series: | Technology in Cancer Research & Treatment |
Online Access: | https://doi.org/10.1177/15330338211039125 |