Robustness of radiomic features in magnetic resonance imaging: review and a phantom study
Abstract Radiomic analysis has exponentially increased the amount of quantitative data that can be extracted from a single image. These imaging biomarkers can aid in the generation of prediction models aimed to further personalized medicine. However, the generalizability of the model is dependent on...
| Auteurs principaux: | , , |
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| Format: | Article |
| Langue: | English |
| Publié: |
SpringerOpen
2019-11-01
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| Collection: | Visual Computing for Industry, Biomedicine, and Art |
| Sujets: | |
| Accès en ligne: | http://link.springer.com/article/10.1186/s42492-019-0025-6 |