Machine-learning based MRI radiomics models for early detection of radiation-induced brain injury in nasopharyngeal carcinoma

BACKGROUND: Early radiation-induced temporal lobe injury (RTLI) diagnosis in nasopharyngeal carcinoma (NPC) is clinically challenging, and prediction models of RTLI are lacking. Hence, we aimed to develop radiomic models for early detection of RTLI. METHODS: We retrospectively included a total of 24...

Полное описание

Сохранить в:
Библиографические подробности
Опубликовано в: :BMC Cancer
Главные авторы: Zhang, Bin, Lian, Zhouyang, Zhong, Liming, Zhang, Xiao, Dong, Yuhao, Chen, Qiuying, Zhang, Lu, Mo, Xiaokai, Huang, Wenhui, Yang, Wei, Zhang, Shuixing
Формат: Artigo
Язык:Inglês
Опубликовано: BioMed Central 2020
Предметы:
Research Article
Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC7268644/
https://ncbi.nlm.nih.gov/pubmed/32487085
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12885-020-06957-4
Метки: Добавить метку
Нет меток, Требуется 1-ая метка записи!

Схожие документы