Application of CT-Based Radiomics in Discriminating Pancreatic Cystadenomas From Pancreatic Neuroendocrine Tumors Using Machine Learning Methods

Application of CT-Based Radiomics in Discriminating Pancreatic Cystadenomas From Pancreatic Neuroendocrine Tumors Using Machine Learning Methods

ObjectivesThe purpose of this study aimed at investigating the reliability of radiomics features extracted from contrast-enhanced CT in differentiating pancreatic cystadenomas from pancreatic neuroendocrine tumors (PNETs) using machine-learning methods.MethodsIn this study, a total number of 120 pat...

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Bibliographic Details
Main Authors: Xuejiao Han, Jing Yang, Jingwen Luo, Pengan Chen, Zilong Zhang, Aqu Alu, Yinan Xiao, Xuelei Ma
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-07-01
Series:Frontiers in Oncology
Subjects:
pancreatic cystadenomas
pancreatic neuroendocrine tumors
radiomics
machine learning
differentiation
pNETs
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2021.606677/full

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https://www.frontiersin.org/articles/10.3389/fonc.2021.606677/full

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