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A clinical‐radiomic‐pathomic model for prognosis prediction in patients with hepatocellular carcinoma after radical resection

Abstract Purpose Radical surgery, the first‐line treatment for patients with hepatocellular cancer (HCC), faces the dilemma of high early recurrence rates and the inability to predict effectively. We aim to develop and validate a multimodal model combining clinical, radiomics, and pathomics features...

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Hlavní autoři: Qu Xie, Zeyin Zhao, Yanzhen Yang, Xiaohong Wang, Wei Wu, Haitao Jiang, Weiyuan Hao, Ruizi Peng, Cong Luo
Médium: Artigo
Jazyk:Inglês
Vydáno: Wiley 2024-06-01
Edice:Cancer Medicine
Témata:
hepatocellular carcinoma
machine learning
pathomics
radiomics
recurrence
On-line přístup:https://doi.org/10.1002/cam4.7374
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