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

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.

Keywords

Deep learning artificial intelligence automatic segmentation four-dimensional computed tomography carpal bones carpal instability

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