Work

A Quantitative CT Imaging Signature Predicts Survival and Complements Established Prognosticators in Stage I Non-Small Cell Lung Cancer

Year: 2018

Type: article

Study design: Observational Study

Source: International Journal of Radiation Oncology*Biology*Physics

DOI: 10.1016/j.ijrobp.2018.01.006

Authors: Juheon Lee, Bailiang Li, Yi Cui, Xiaoli Sun, Jia Wu, Hui Zhu, Jinming Yu, Michael F. Gensheimer, Billy W. Loo, Maximilian Diehn, Ruijiang Li

Institutions: Stanford Medicine, Stanford University, First Affiliated Hospital Zhejiang University, Zhejiang University, Shandong University, Shandong Tumor Hospital, Stanford Cancer Institute, Institute for Stem Cell Biology and Regenerative Medicine

Language: English

Topic: Radiomics and Machine Learning in Medical Imaging

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W2783172472

FWCI: 2.364

Cites: 41

Cited by: 26

Related to: 10