Editorial: Application of radiomics in understanding tumor biological behaviors and treatment response

被引：1
|
作者：
Xiao, Ningping [1 ]
Pei, Zhengda [1 ,2 ]
Lu, Wenhui [2 ]
Fang, Rongyao [2 ]
Jin, Yi [1 ]
Zhou, Guanzhi [3 ]
Meng, Xue [4 ]
Ng, Sweet Ping [5 ]
Xing, Lei [6 ]
Liao, Zhongxing [7 ]
Sijtsema, Nanna Maria [3 ]
Yang, Pei [1 ]
机构：
[1] Cent South Univ, Xiangya Sch Med, Hunan Canc Hosp, Changsha, Hunan, Peoples R China
[2] Univ South China, Grad Collaborat Training Base Hunan Canc Hosp, Hengyang Med Sch, Hengyang, Hunan, Peoples R China
[3] Univ Med Ctr Groningen, Dept Radiotherapy, Groningen, Netherlands
[4] Shandong Canc Hosp, Dept Radiat Oncol, Jinan, Shandong, Peoples R China
[5] Austin Hlth, Olivia Newton John Canc Ctr, Dept Radiat Oncol, Melbourne, Vic, Australia
[6] Stanford Univ, Sch Med, Stanford, CA USA
[7] Univ Texas MD Anderson Canc Ctr, Dept Radiat Oncol, Houston, TX USA
来源：
FRONTIERS IN ONCOLOGY | 2023年 / 13卷
关键词：
radiomics; machine learning; cancer; biological behaviors; artificial intelligence; individual treatment;
D O I：
10.3389/fonc.2023.1257447
中图分类号：
R73 [肿瘤学];
学科分类号：
100214 ;
摘要：
引用
收藏
页数：3
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