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Published in:
2020 | OriginalPaper | Chapter
Abstract: Defence of Mathematical Models for Deep Learning based Registration
Authors : Lasse Hansen, Maximilian Blendowski, Mattias P. Heinrich
Published in: Bildverarbeitung für die Medizin 2020
Publisher: Springer Fachmedien Wiesbaden
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Deep learning based methods have not reached clinically acceptable results for common medical registration tasks that could be adequately solved using conventional methods. The slower progress compared to image segmentation is due to the lower availability of expert correspondences and the very large learnable parameter space for naive deep learning solutions. We strongly believe that it is necessary and beneficial to integrate conventional optimisation strategies as differentiable modules into deep learning based registration.