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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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樓主: mortality
31#
發(fā)表于 2025-3-26 21:32:26 | 只看該作者
978-3-030-13735-9Springer Nature Switzerland AG 2019
32#
發(fā)表于 2025-3-27 01:48:54 | 只看該作者
Computational Methods and Clinical Applications for Spine Imaging978-3-030-13736-6Series ISSN 0302-9743 Series E-ISSN 1611-3349
33#
發(fā)表于 2025-3-27 08:13:58 | 只看該作者
https://doi.org/10.1007/978-3-322-80595-9section of a porcine cadaver with images from T15 to L6 vertebrae. The median target registration error was 1.48?mm (.), which is below the clinical acceptance threshold of 2?mm. The total registration time was .. We believe that our approach matches the clinical needs in terms of accuracy and compu
34#
發(fā)表于 2025-3-27 09:57:30 | 只看該作者
35#
發(fā)表于 2025-3-27 17:16:01 | 只看該作者
Drehzahlstufen an Werkzeugmaschinen,ork in the MICCAI 2018 Challenge on Automatic Intervertebral Disc Localization and Segmentation from 3D Multi-modality MR Images, demonstrating excellent performance in comparison with other related segmentation methods.
36#
發(fā)表于 2025-3-27 21:22:56 | 只看該作者
37#
發(fā)表于 2025-3-28 01:41:35 | 只看該作者
https://doi.org/10.1007/978-3-662-41878-9rt personalized finite elements simulation, based on models of the spine that not only feature vertebrae and inter-vertebral discs (IVDs), but also descriptive ligament models. This paper suggests a way of proceeding, based on the application of deformable multi-surface Simplex model applied to a CA
38#
發(fā)表于 2025-3-28 03:48:12 | 只看該作者
39#
發(fā)表于 2025-3-28 09:00:42 | 只看該作者
https://doi.org/10.1007/978-3-642-47371-5a different path to better exploit their unique information. Second, inspired by HyperDenseNet [.], the network is densely-connected both within each path and across different paths, granting the model the freedom to learn . and . the different modalities should be processed and combined. Third, we
40#
發(fā)表于 2025-3-28 14:30:18 | 只看該作者
Fast Registration of CT with Intra-operative Ultrasound Images for Spine Surgerysection of a porcine cadaver with images from T15 to L6 vertebrae. The median target registration error was 1.48?mm (.), which is below the clinical acceptance threshold of 2?mm. The total registration time was .. We believe that our approach matches the clinical needs in terms of accuracy and compu
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