A prognostic model integrating radiomics and deep learning based on CT for survival prediction in laryngeal squamous cell carcinoma

A prognostic model integrating radiomics and deep learning based on CT for survival prediction in laryngeal squamous cell carcinoma

Abstract Accurate prognostic prediction is crucial for patients with laryngeal squamous cell carcinoma (LSCC) to guide personalized treatment strategies. This study aimed to develop a comprehensive prognostic model leveraging clinical factors alongside radiomics and deep learning (DL) based on CT im...

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Bibliographic Details
Main Authors: Huan Jiang, Kai Xie, Xinwei Chen, Youquan Ning, Qiang Yu, Fajin Lv, Rui Liu, Yuan Zhou, Shuang Xia, Juan Peng
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
Subjects:
Laryngeal squamous cell carcinoma
Computed tomography
Radiomics
Deep learning
Survival prediction
Online Access:https://doi.org/10.1038/s41598-025-15166-7
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https://doi.org/10.1038/s41598-025-15166-7

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