Multimodal deep learning model for prognostic prediction in cervical cancer receiving definitive radiotherapy: a multi-center study
Abstract For patients with locally advanced cervical cancer (LACC), precise survival prediction models could guide personalized treatment. We developed and validated CerviPro, a deep learning-based multimodal prognostic model, to predict disease-free survival (DFS) in 1018 patients with LACC receivi...
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| Main Authors: | Weiping Wang, Guang Yang, Yulin Liu, Lichun Wei, Xiaoying Xu, Chulong Zhang, Zhaohong Pan, Yongguang Liang, Bo Yang, Jie Qiu, Fuquan Zhang, Xiaorong Hou, Ke Hu, Xiaokun Liang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-08-01
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| Series: | npj Digital Medicine |
| Online Access: | https://doi.org/10.1038/s41746-025-01903-9 |
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