Tumor habitat and peritumoral region evolution–based imaging features to assess risk categorization of thymomas
Author:
Funder
Department of Education of Liaoning Province
Scientific Research Fund of Liaoning Provincial Education Department
Publisher
Elsevier BV
Reference30 articles.
1. CT-based radiomics signatures for predicting the risk categorization of thymic epithelial tumors;Liu;Front Oncol,2021
2. Machine-learning classifiers based on non-enhanced computed tomography radiomics to differentiate anterior mediastinal cysts from thymomas and low-risk from high-risk thymomas: a multi-center study;Shang;Front Oncol,2022
3. WHO classification of tumors of the lung, Pleura, Thymus and Heart;Travis,2015
4. Does CT of thymic epithelial tumors enable us to differentiate histologic subtypes and predict prognosis?;Jeong;Am J Roentgenology,2004
5. Precision diagnosis and treatment for advanced non-small-cell lung cancer;Reck;N Engl J Med,2017
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