دورية أكاديمية

Pretherapy investigations using highly robust visualized biomarkers from CT imaging by multiple machine-learning techniques toward its prognosis prediction for ALK-inhibitor therapy in NSCLC: a feasibility study

التفاصيل البيبلوغرافية
العنوان: Pretherapy investigations using highly robust visualized biomarkers from CT imaging by multiple machine-learning techniques toward its prognosis prediction for ALK-inhibitor therapy in NSCLC: a feasibility study
المؤلفون: Sun, Jingjing, Li, Feng, Yang, Jiantao, Lin, Chen, Zhou, Xianglan, Liu, Na, Zhang, Bingqian, Song, Ge, Wang, Wenxian, Huang, Chencui, Song, ZhengboAff4, IDs00432023046153_cor11, Shi, LeiAff1, IDs00432023046153_cor12
المصدر: Journal of Cancer Research and Clinical Oncology. 149(10):7341-7353
قاعدة البيانات: Springer Nature Journals
الوصف
تدمد:01715216
14321335
DOI:10.1007/s00432-023-04615-3