| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 8214095 | International Journal of Radiation Oncology*Biology*Physics | 2016 | 39 Pages |
Abstract
We propose a robust intratumor partitioning method to identify clinically relevant, high-risk subregions in lung cancer. We envision that this approach will be applicable to identifying useful imaging biomarkers in many cancer types.
Related Topics
Physical Sciences and Engineering
Physics and Astronomy
Radiation
Authors
Jia PhD, Michael F. MD, Xinzhe MD, Daniel L. MD, MS, Sandy PhD, Maximilian MD, PhD, Billy W. MD, PhD, Ruijiang PhD,