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

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...

Ful tanımlama

Kaydedildi:
Detaylı Bibliyografya
Asıl Yazarlar: Tao Chen, Shangqing Liu, Yong Li, Xingyu Feng, Wei Xiong, Xixi Zhao, Yali Yang, Cangui Zhang, Yanfeng Hu, Hao Chen, Lin Tian, Mingli Zhao, Hao Liu, Jiang Yu, Yikai Xu, Yu Zhang, Guoxin Li
Materyal Türü: Artigo
Dil:İngilizce
Baskı/Yayın Bilgisi: 2018
Online Erişim:https://doi.org/10.1016/j.ebiom.2018.12.028
http://www.thelancet.com/article/S2352396418306054/pdf
Etiketler: Etiketle
Etiket eklenmemiş, İlk siz ekleyin!

Internet

https://doi.org/10.1016/j.ebiom.2018.12.028
http://www.thelancet.com/article/S2352396418306054/pdf

Benzer Materyaller