Uncertainty propagation for the assessment of tumoral masses segmentation

In this paper, we perform the assessment of a tumoral mass segmentation and characterization algorithm by implementing the uncertainty propagation through the blocks. We use a Monte Carlo method owing to the iterative and very complex structure of the algorithms used. The validation of the results is based on confidence intervals for given coverage probabilities and ad hoc performance metrics.