集聚成团 发表于 2025-3-28 17:51:37
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Automated Segmentation of Intervertebral Disc Using Fully Dilated Separable Deep Neural Networksork 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.古老 发表于 2025-3-29 00:43:26
Intensity Standardization of Skeleton in Follow-Up Whole-Body MRIw-up whole-body image is spatially registered to a baseline image using B-spline deformable registration. Secondly, an intensity standardization algorithm based on a histogram matching is applied to the follow-up image. Additionally, the use of a skeleton mask was introduced, in order to focus the aFIN 发表于 2025-3-29 05:56:57
Towards a Deformable Multi-surface Approach to Ligamentous Spine Models for Predictive Simulation-Bart 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 CAreaching 发表于 2025-3-29 10:31:39
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IVD-Net: Intervertebral Disc Localization and Segmentation in MRI with a Multi-modal UNeta 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, weCRUMB 发表于 2025-3-29 18:25:02
Computational Methods and Clinical Applications for Spine Imaging5th International Wo向外 发表于 2025-3-29 20:39:18
0302-9743 , and also papers which demonstrate the performance of methods on the provided challenges, the aim is to cover both theoretical and very practical aspects of computerized spinal imaging... .978-3-030-13735-9978-3-030-13736-6Series ISSN 0302-9743 Series E-ISSN 1611-3349激怒某人 发表于 2025-3-30 03:17:02
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Stufengetriebe an Werkzeugmaschinenctor for the presence or not of Modic changes, the achieved average-per-class accuracy is 92.3%. Our evaluation also suggests that the so-called mixup strategy is particularly useful for this type of classification task.