MIDL 2021

 
International Conference on
Medical Imaging with Deep Learning
5. bis 7. Juli 2021

Deep learning-based simultaneous registration and unsupervised non-correspondence segmentation of medical images with pathologies

TitelDeep learning-based simultaneous registration and unsupervised non-correspondence segmentation of medical images with pathologies
Publication TypeJournal Article
Year of Publication2022
AuthorsAndresen J., Kepp T., Ehrhardt J., von der Burchard C., Roider J., Handels H.
JournalInternational Journal of Computer Assisted Radiology and Surgery
ISSN1861-6429
Abstract

The registration of medical images often suffers from missing correspondences due to inter-patient variations, pathologies and their progression leading to implausible deformations that cause misregistrations and might eliminate valuable information. Detecting non-corresponding regions simultaneously with the registration process helps generating better deformations and has been investigated thoroughly with classical iterative frameworks but rarely with deep learning-based methods.

DOI10.1007/s11548-022-02577-4
Short TitleInt J CARS
Erstellt am 14. März 2022 - 6:59.

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