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Multitask deep learning model based on multimodal data for predicting prognosis of rectal cancer: a multicenter retrospective study

Abstract Background Prognostic prediction is crucial to guide individual treatment for patients with rectal cancer. We aimed to develop and validated a multitask deep learning model for predicting prognosis in rectal cancer patients. Methods This retrospective study enrolled 321 rectal cancer patien...

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Principais autores: Qiong Ma, Runqi Meng, Ruiting Li, Ling Dai, Fu Shen, Jie Yuan, Danqi Sun, Manman Li, Caixia Fu, Rong Li, Feng Feng, Yonggang Li, Tong Tong, Yajia Gu, Yiqun Sun, Dinggang Shen
Format: Artigo
Sprog:Inglês
Udgivet: BMC 2025-06-01
Serier:BMC Medical Informatics and Decision Making
Fag:
Deep learning
Rectal cancer
Multimodal data
Prognostic prediction
Online adgang:https://doi.org/10.1186/s12911-025-03050-3
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