Uncertainty-driven Sanity Check: Application to Postoperative Brain Tumor Cavity Segmentation

no code implementations • 8 Jun 2018 • Alain Jungo, Raphael Meier, Ekin Ermis, Evelyn Herrmann, Mauricio Reyes

Uncertainty estimates of modern neuronal networks provide additional information next to the computed predictions and are thus expected to improve the understanding of the underlying model.

Segmentation

On the Effect of Inter-observer Variability for a Reliable Estimation of Uncertainty of Medical Image Segmentation

no code implementations • 7 Jun 2018 • Alain Jungo, Raphael Meier, Ekin Ermis, Marcela Blatti-Moreno, Evelyn Herrmann, Roland Wiest, Mauricio Reyes

Uncertainty estimation methods are expected to improve the understanding and quality of computer-assisted methods used in medical applications (e. g., neurosurgical interventions, radiotherapy planning), where automated medical image segmentation is crucial.

Image Segmentation Medical Image Segmentation +2