Prediction of Recurrence using a Stacked Denoising Autoencoder and Multifaceted Feature Analysis of Pretreatment MRI in Patients with Nasopharyngeal Carcinoma
This model provides a tool for early recurrence risk stratification and personalized therapy optimization, advancing precision medicine in NPC management.
Authors
- Bin Li (ORCID: https://orcid.org/0000-0003-0695-393X)
- Qianhui Qiu (ORCID: https://orcid.org/0000-0001-6335-5173)
- LI Jiong-yi
- Xianwen Wang
- Xianlong Wang (ORCID: https://orcid.org/0000-0002-6514-9987)
- Bin He (ORCID: https://orcid.org/0000-0003-2944-8602)
- Yibin Liu (ORCID: https://orcid.org/0009-0003-7775-0221)
- Junxiao Gao (ORCID: https://orcid.org/0000-0002-5333-3816)
- Lianfang Tian
Institutions
- Ganzhou People's Hospital (CN)
- Zhujiang Hospital (CN)
- Guangdong Academy of Medical Sciences (CN)
- Guangdong Provincial People's Hospital (CN)
- Wuzhou Red Cross Hospital (CN)
- Southern Medical University (CN)
- South China University of Technology (CN)
Publication Details
- Journal
- Current Radiopharmaceuticals
- Published
- 2025-04-16
- DOI
- https://doi.org/10.2174/0118744710384129250327060846
- Citations
- 2
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 2.72