Integration of Deep Learning Radiomics and Counts of Circulating Tumor Cells Improves Prediction of Outcomes of Early Stage NSCLC Patients Treated With SBRT-Reference-Cited by-同舟云学术

Integration of Deep Learning Radiomics and Counts of Circulating Tumor Cells Improves Prediction of Outcomes of Early Stage NSCLC Patients Treated With SBRT

Published:2021-11 Issue: Volume: Page:
ISSN:0360-3016
Container-title:International Journal of Radiation Oncology*Biology*Physics
language:en
Short-container-title:International Journal of Radiation Oncology*Biology*Physics

Author:

Jiao Zhicheng^ORCID,Li Hongming,Xiao Ying,Dorsey Jay,Simone Charles B.,Feigenberg Steven,Kao Gary,Fan Yong

Funder

National Institutes of Health

National Cancer Institute

Publisher

Elsevier BV

Subject

Cancer Research,Radiology, Nuclear Medicine and imaging,Oncology,Radiation

Reference45 articles.

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