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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Detalles Bibliográficos
Autores principales: 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: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Research paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6355433/
https://www.ncbi.nlm.nih.gov/pubmed/30587460
http://dx.doi.org/10.1016/j.ebiom.2018.12.028

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6355433/
https://www.ncbi.nlm.nih.gov/pubmed/30587460
http://dx.doi.org/10.1016/j.ebiom.2018.12.028

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