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Updated: Jul 12, 2025

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Four-Dimensional CT Analysis Using Sequential 3D-3D Registration
Published on: November 23, 2019
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Automatic segmentation and labelling of wrist bones in four-dimensional computed tomography datasets via deep
E H S Teule1,2, N Lessmann3, E P A van der Heijden2,4
1Technical Medicine, University of Twente, Enschede, The Netherlands.
The Journal of Hand Surgery, European Volume
|October 26, 2023
Abstract:
This study developed a deep learning model for fully automatic segmentation and labelling of wrist bones from four-dimensional computed tomography (4DCT) scans. This is a crucial step towards implementing 4DCT for diagnosing wrist ligament lesions, reducing time-consuming analysis of extensive data.

