Deep learning or radiomics based on CT for predicting the response of gastric cancer to neoadjuvant chemotherapy: a meta-analysis and systematic review (vol 14, 1363812, 2024)

被引:0
作者
Bao, Zhixian [1 ,2 ]
Du, Jie [3 ]
Zheng, Ya [1 ,4 ]
Guo, Qinghong [1 ,4 ]
Ji, Rui [1 ,4 ]
机构
[1] Lanzhou Univ, Hosp 1, Dept Gastroenterol, Lanzhou, Peoples R China
[2] Xian 1 Hosp, Dept Gastroenterol, Xian, Shaanxi, Peoples R China
[3] Lanzhou Univ, Sch Publ Hlth, Dept Social Med & Hlth Management, Lanzhou, Peoples R China
[4] Lanzhou Univ, Hosp 1, Gansu Prov Clin Res Ctr Digest Dis, Lanzhou, Peoples R China
关键词
gastric cancer; neoadjuvant chemotherapy; deep learning; radiomics; artificial intelligence; meta-analysis;
D O I
10.3389/fonc.2024.1433346
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
引用
收藏
页数:2
相关论文
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[1]   Deep learning or radiomics based on CT for predicting the response of gastric cancer to neoadjuvant chemotherapy: a meta-analysis and systematic review [J].
Bao, Zhixian ;
Du, Jie ;
Zheng, Ya ;
Guo, Qinghong ;
Ji, Rui .
FRONTIERS IN ONCOLOGY, 2024, 14