Automatic segmentation and labelling of wrist bones in four-dimensional computed tomography datasets via deep learning.

Journal: The Journal of hand surgery, European volume

PMID: 37882645

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.

Authors

E H S Teule

Technical Medicine, University of Twente, Enschede, The Netherlands.
N Lessmann

Image Sciences Institute, University Medical Center Utrecht, Utrecht, The Netherlands.
E P A van der Heijden

Department of Plastic, Reconstructive, and Hand Surgery, Radboud University Medical Center, Nijmegen, The Netherlands.
S Hummelink

Department of Plastic, Reconstructive, and Hand Surgery, Radboud University Medical Center, Nijmegen, The Netherlands.

Keywords

Carpal Bones Deep Learning Four-Dimensional Computed Tomography Humans Image Processing, Computer-Assisted Ligaments, Articular Wrist

External Resources

View on PubMed Access via DOI PubMed (37882645)

Automatic segmentation and labelling of wrist bones in four-dimensional computed tomography datasets via deep learning.

Abstract

Authors

Keywords

External Resources

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