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

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 to impro...

Full description

Bibliographic Details

Main Authors:	Wang, Bingzhen, Liu, Jinghua, Zhang, Xiaolei, Lin, Jianpeng, Li, Shuyan, Wang, Zhongxiao, Cao, Zhendong, Wen, Dong, Liu, Tiange, Harun Ramli, Hafiz Rashidi, Harith, Hazreen Haizi, Wan Hasan, Wan Zuha, Dong, Xianling
Format:	Article
Language:	en
Published:	BioMed Central 2025
Online Access:	http://psasir.upm.edu.my/id/eprint/120354/1/120354.pdf http://psasir.upm.edu.my/id/eprint/120354/ https://ro-journal.biomedcentral.com/articles/10.1186/s13014-025-02695-8
Tags:	Add Tag No Tags, Be the first to tag this record!