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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Bibliografski detalji
Izdano u:EBioMedicine
Glavni autori: 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
Format: Artigo
Jezik:Inglês
Izdano: Elsevier 2018
Teme:
Research paper
Online pristup: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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