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Titlebook: Computational Methods and Clinical Applications for Spine Imaging; 5th International Wo Guoyan Zheng,Daniel Belavy,Shuo Li Conference proce

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https://doi.org/10.1007/978-3-662-41878-9 the resection of ligaments and bone facets from the front or back of the spine, in order to make it sufficiently compliant to enable the correction of the deformity. In light of progress in other areas of surgery in minimally invasive therapies, orthopedic surgeons have begun envisioning computer s
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https://doi.org/10.1007/978-3-642-53145-3e at MICCAI 2018, we have proposed a segmentation method based on simple image processing operators. Most of these operators come from the mathematical morphology framework. Driven by some prior knowledge on IVDs (basic information about their shape and the distance between them), and on their contr
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https://doi.org/10.1007/978-3-642-47371-5l advances in medical imaging, IVD localization and segmentation are still manually performed, which is time-consuming and prone to errors. If, in addition, multi-modal imaging is considered, the burden imposed on disease assessments increases substantially. In this paper, we propose an architecture
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Helga Schloffer,Irene Gabriel,Ellen Prang and measurements. Manual annotation is a tedious and laborious procedure. There exist automatic IVD localization and segmentation methods on multi-modality IVD MR images, but an objective comparison of such methods is lacking. Thus we organized the following challenge: Automatic Intervertebral Disc
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