| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 5491636 | Magnetic Resonance Imaging | 2017 | 14 Pages |
Abstract
Conclusion: The proposed classification trees were efficiently used as a statistical tool for visualization and communication of results to distinguish between important and less influential processing steps in renal DCE-MRI. We also identified several crucial factors in the processing chain.
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Authors
Erik Hanson, Eli Eikefjord, Jarle Rørvik, Erling Andersen, Arvid Lundervold, Erlend Hodneland,