Work

Robust Intratumor Partitioning to Identify High-Risk Subregions in Lung Cancer: A Pilot Study

Year: 2016

Type: article

Study design: Observational Study

Source: International Journal of Radiation Oncology*Biology*Physics

DOI: 10.1016/j.ijrobp.2016.03.018

Authors: Jia Wu, Michael F. Gensheimer, Xinzhe Dong, Daniel L. Rubin, Sandy Napel, Maximilian Diehn, Billy W. Loo, Ruijiang Li

Institutions: Stanford Medicine, Stanford University, 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: green

Funder: National Cancer Institute

Awards: G2550767902, MRI-Based Radiation Therapy Treatment Planning, G3542229753, G689490077, Real-Time Volumetric Imaging for Lung Cancer Radiotherapy

OpenAlex ID: W2307308593

FWCI: 8.412

Cites: 44

Cited by: 90

Related to: 10