TEDS-Net: enforcing diffeomorphisms in spatial transformers to guarantee topology preservation in segmentations

TEDS-Net: enforcing diffeomorphisms in spatial transformers to guarantee topology preservation in segmentations

Accurate topology is key when performing meaningful anatomical segmentations, however, it is often overlooked in traditional deep learning methods. In this work we propose TEDS-Net: a novel segmentation method that guarantees accurate topology. Our method is built upon a continuous diffeomorphic fra...

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Bibliografiske detaljer
Main Authors:	Wyburd, MK, Jenkinson, M, Dinsdale, NK, Namburete, AIL
Format:	Conference item
Sprog:	English
Udgivet:	Springer 2021

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