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...

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Detalles Bibliográficos
Autores principales: Xu, Hanyue, Zou, Xiuhe, Zhao, Yunuo, Zhang, Tao, Tang, Youyin, Zheng, Aiping, Zhou, Xianghong, Ma, Xuelei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8435928/
https://www.ncbi.nlm.nih.gov/pubmed/34499018
http://dx.doi.org/10.1177/15330338211039125

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8435928/
https://www.ncbi.nlm.nih.gov/pubmed/34499018
http://dx.doi.org/10.1177/15330338211039125

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