A stacking ensemble framework integrating radiomics and deep learning for prognostic prediction in head and neck cancer

A stacking ensemble framework integrating radiomics and deep learning for prognostic prediction in head and neck cancer

Abstract Background Radiomics models frequently face challenges related to reproducibility and robustness. To address these issues, we propose a multimodal, multi-model fusion framework utilizing stacking ensemble learning for prognostic prediction in head and neck cancer (HNC). This approach seeks...

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Bibliographic Details
Main Authors: Bingzhen Wang, Jinghua Liu, Xiaolei Zhang, Jianpeng Lin, Shuyan Li, Zhongxiao Wang, Zhendong Cao, Dong Wen, Tiange Liu, Hafiz Rashidi Harun Ramli, Hazreen Haizi Harith, Wan Zuha Wan Hasan, Xianling Dong
Format: Article
Language:English
Published: BMC 2025-08-01
Series:Radiation Oncology
Subjects:
Head and neck Cancer
Radiomics
DenseNet
Stacking
Ensemble
Prognostic
Online Access:https://doi.org/10.1186/s13014-025-02695-8
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https://doi.org/10.1186/s13014-025-02695-8

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