Contrast-enhanced computed tomography-based radiomics models for the risk categorization of thymoma

Background and purpose: Preoperative risk categorization of thymoma is useful for treatment decisions but remains challenging. This study focused on training radiomics models using contrast-enhanced computed tomography (CECT) images for thymoma risk categorization and validating the model's per...

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Bibliographic Details

Published in:	Zhongguo aizheng zazhi
Main Author:	JIANG Tiaoyan, JIA Tianying, ZHANG Qin
Format:	Article
Language:	English
Published:	Editorial Office of China Oncology 2024-06-01
Subjects:	|mediastinal|thymoma|computed tomography|machine learning
Online Access:	http://www.china-oncology.com/fileup/1007-3639/PDF/1721112112497-1732976443.pdf