Uncertainty quantification integrates methods that measure the confidence of deep learning predictions in medical imaging, addressing both intrinsic data noise and model limitations. In clinical ...
Uncertainty quantification (UQ) encompasses the systematic characterisation and propagation of uncertainties in computational models to assess the credibility of simulation predictions. It addresses ...