Contrast-enhanced CT-based deep learning model assists in preoperative risk classification of thymic epithelial tumors

Contrast-enhanced CT-based deep learning model assists in preoperative risk classification of thymic epithelial tumors

BackgroundThis study aimed to develop and evaluate a deep learning (DL) model utilizing contrast-enhanced computed tomography (CT) to assist radiologists in accurately stratifying the risk of thymic epithelial tumors (TETs) based on the World Health Organization (WHO) classification.MethodsInvolved...

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Bibliographic Details
Main Authors: Xuhui Zhao, Lingyu Zhang, Li Liang, Qi Zhang, Wencan Wang, Junlin Li, Hua Zhang, Chunhai Yu, Lingjie Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-07-01
Series:Frontiers in Oncology
Subjects:
deep learning
convolutional neural network (CNN)
radiomics
thymic epithelial tumors
computed tomography
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2025.1616816/full
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https://www.frontiersin.org/articles/10.3389/fonc.2025.1616816/full

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