| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 10917946 | Radiotherapy and Oncology | 2015 | 6 Pages |
Abstract
Although only basic metrics are routinely quantified, this study shows that radiomic features capturing detailed information of the tumor phenotype can be used as a prognostic biomarker for clinically-relevant factors such as DM. Moreover, the radiomic-signature provided additional information to clinical data.
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Authors
Thibaud P. Coroller, Patrick Grossmann, Ying Hou, Emmanuel Rios Velazquez, Ralph T.H. Leijenaar, Gretchen Hermann, Philippe Lambin, Benjamin Haibe-Kains, Raymond H. Mak, Hugo J.W.L. Aerts,