Estimation of Large Motion in Lung CT by Integrating Regularized Keypoint Correspondences into Dense Deformable Registration

Medientyp: E-Artikel
Titel: Estimation of Large Motion in Lung CT by Integrating Regularized Keypoint Correspondences into Dense Deformable Registration
Beteiligte: Ruhaak, Jan; Polzin, Thomas; Heldmann, Stefan; Simpson, Ivor J. A.; Handels, Heinz; Modersitzki, Jan; Heinrich, Mattias P.
Erschienen: Institute of Electrical and Electronics Engineers (IEEE), 2017
Erschienen in: IEEE Transactions on Medical Imaging
Sprache: Nicht zu entscheiden
DOI: 10.1109/tmi.2017.2691259
ISSN: 0278-0062; 1558-254X
Schlagwörter: Electrical and Electronic Engineering ; Computer Science Applications ; Radiological and Ultrasound Technology ; Software
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