Integration of intratumoral and peritumoral CT radiomic features with machine learning algorithms for predicting induction therapy response in locally advanced non-small cell lung cancer.
Saved in:
| Title: | Integration of intratumoral and peritumoral CT radiomic features with machine learning algorithms for predicting induction therapy response in locally advanced non-small cell lung cancer. |
|---|---|
| Authors: | Cai, FangHao1,2 (AUTHOR), Guo, Zhengjun1,2 (AUTHOR) guozhengjun@hospital.cqmu.edu.cn, Wang, GuoYu3 (AUTHOR), Luo, FuPing3 (AUTHOR), Yang, Yang3 (AUTHOR), Lv, Min3 (AUTHOR), He, JiMin3 (AUTHOR), Xiu, ZhiGang3 (AUTHOR), Tang, Dan3 (AUTHOR), Bao, XiaoHui1,2 (AUTHOR), Zhang, XiaoYue1,2 (AUTHOR), Yang, ZhenZhou1,2 (AUTHOR) yangzz@cqmu.edu.cn, Chen, Zhi1,3 (AUTHOR) 2023440076@stu.cqmu.edu.cn |
| Source: | BMC Cancer. 3/13/2025, Vol. 25 Issue 1, p1-12. 12p. |
| Database: | Academic Search Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 14712407 |
|---|---|
| DOI: | 10.1186/s12885-025-13804-x |
