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Developed and validated a prognostic nomogram for recurrence-free survival after complete surgical resection of local primary gastrointestinal stromal tumors based on deep learning

This study aimed to develop and validate a prognostic nomogram for recurrence-free survival (RFS) after surgery in the absence of adjuvant therapy to guide the selection for adjuvant imatinib therapy based on Residual Neural Network (ResNet). The ResNet model was developed based on contrast-enhanced...

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Detalhes bibliográficos
Publicado no:EBioMedicine
Main Authors: Chen, Tao, Liu, Shangqing, Li, Yong, Feng, Xingyu, Xiong, Wei, Zhao, Xixi, Yang, Yali, Zhang, Cangui, Hu, Yanfeng, Chen, Hao, Lin, Tian, Zhao, Mingli, Liu, Hao, Yu, Jiang, Xu, Yikai, Zhang, Yu, Li, Guoxin
Formato: Artigo
Idioma:Inglês
Publicado em: Elsevier 2018
Assuntos:
Research paper
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6355433/
https://ncbi.nlm.nih.gov/pubmed/30587460
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.ebiom.2018.12.028
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