The reliability of a deep learning model in clinical out-of-distribution MRI data: a multicohort study

1 Nov 2019Gustav MårtenssonDaniel FerreiraTobias GranbergLena CavallinKetil OppedalAlessandro PadovaniIrena RektorovaLaura BonanniMatteo PardiniMilica KrambergerJohn-Paul TaylorJakub HortJón SnædalJaime KulisevskyFrederic BlancAngelo AntoniniPatrizia MecocciBruno VellasMagda TsolakiIwona KłoszewskaHilkka SoininenSimon LovestoneAndrew SimmonsDag AarslandEric Westman

Deep learning (DL) methods have in recent years yielded impressive results in medical imaging, with the potential to function as clinical aid to radiologists. However, DL models in medical imaging are often trained on public research cohorts with images acquired with a single scanner or with strict protocol harmonization, which is not representative of a clinical setting... (read more)

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