HyperPredict: Estimating Hyperparameter Effects for Instance-Specific Regularization in Deformable Image Registration

arXiv:2403.02069v1 Announce Type: new
Abstract: Methods for medical image registration infer geometric transformations that align pairs/groups of images by maximising an image similarity metric. This problem is ill-posed as several solutions may have equivalent likelihoods, also optimising purely for image similarity can yield implausible transformations. For these reasons regularization terms are essential to obtain meaningful registration results. However, this requires the introduction of at least one hyperparameter often termed {\lambda}, that serves as a tradeoff between loss terms. In some …

abstract arxiv cs.cv effects hyperparameter image images instance medical registration regularization solutions type