CT-Based Radiomics Signatures for Predicting the Risk Categorization of Thymic Epithelial Tumors

CT-Based Radiomics Signatures for Predicting the Risk Categorization of Thymic Epithelial Tumors

ObjectivesThis study aims to assess the performance of radiomics approaches based on 3D computed tomography (CT), clinical and semantic features in predicting the pathological classification of thymic epithelial tumors (TETs).MethodsA total of 190 patients who underwent surgical resection and had pa...

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Bibliographic Details
Main Authors: Jin Liu, Ping Yin, Sicong Wang, Tao Liu, Chao Sun, Nan Hong
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-02-01
Series:Frontiers in Oncology
Subjects:
radiomics
thymic epithelial tumors
pathologic classification
computed tomography
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2021.628534/full

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https://www.frontiersin.org/articles/10.3389/fonc.2021.628534/full

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