Image registration is a geometric deep learning task

Data-driven deformable image registration methods predominantly rely on operations that process grid-like inputs. However, applying deformable transformations to an image results in a warped space that deviates from a rigid grid structure. Consequently, data-driven approaches with sequential deforma...

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Veröffentlicht in:	arXiv.org 2024-12
Hauptverfasser:	Sideri-Lampretsa, Vasiliki, Stolt-Ansó, Nil, Menten, Martin, Qiu, Huaqi, McGinnis, Julian, Rueckert, Daniel
Format:	Artikel
Sprache:	eng
Schlagworte:	Cognitive tasks Computed tomography Coordinates Deep learning Euclidean geometry Euclidean space Formability Image registration Image resolution Magnetic resonance imaging Medical imaging Modelling Registration Resampling
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