Deep learning for bone segmentation: towards automating failure load simulations
Résumé
In this paper, we propose a dedicated pipeline of pre-processing, deep learning-based segmentation and post-processing for human femurs and vertebras segmentation of CT-scans volumes. For both tasks, we experimented with three U-Net architectures and showed that out-of-the-box models enable automatic and high-quality volume segmentation, if carefully trained.
Domaines
Biomécanique [physics.med-ph]
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Saillard et al. - 2023 - Deep learning for bone segmentation towards autom.pdf (631.4 Ko)
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