Deep learning-based simultaneous registration and unsupervised non-correspondence segmentation of medical images with pathologies
Titel | Deep learning-based simultaneous registration and unsupervised non-correspondence segmentation of medical images with pathologies |
Publication Type | Journal Article |
Year of Publication | 2022 |
Authors | Andresen J., Kepp T., Ehrhardt J., von der Burchard C., Roider J., Handels H. |
Journal | International Journal of Computer Assisted Radiology and Surgery |
ISSN | 1861-6429 |
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. |
DOI | 10.1007/s11548-022-02577-4 |
Short Title | Int J CARS |
Erstellt am 14. März 2022 - 7:59.