Deep learning radiomics nomogram predicts lymph node metastasis in laryngeal squamous cell carcinoma

Deep learning radiomics nomogram predicts lymph node metastasis in laryngeal squamous cell carcinoma

BackgroundLymph node metastases (LNM) in laryngeal squamous cell carcinoma (LSCC) has been associated with lower survival, but current imaging methods, such as computed tomography (CT), have limited capabilities to identify them. Both conventional radiomics, involving data analysis of high-throughpu...

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Bibliographic Details
Main Authors: Yun Liang, Min He, Wenqing Chen, Lizhen Li, Yumeng Dong, Gang Liang, Hui Huangfu, Zengyu Jiang, Sheng He
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-08-01
Series:Frontiers in Oncology
Subjects:
deep learning
artificial intelligence
radiomics
laryngeal cancer
lymph node metastasis
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2025.1573687/full
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https://www.frontiersin.org/articles/10.3389/fonc.2025.1573687/full

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