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

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...

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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:English
Published: BioMed Central 2025
Online Access:http://psasir.upm.edu.my/id/eprint/120354/
http://psasir.upm.edu.my/id/eprint/120354/1/120354.pdf

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http://psasir.upm.edu.my/id/eprint/120354/
http://psasir.upm.edu.my/id/eprint/120354/1/120354.pdf

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