intricacy 发表于 2025-3-26 21:58:58
http://reply.papertrans.cn/24/2327/232688/232688_31.pnginterrogate 发表于 2025-3-27 02:13:58
http://reply.papertrans.cn/24/2327/232688/232688_32.pngwall-stress 发表于 2025-3-27 08:57:08
2212-9391such a comprehensive topic in the field.Thorough coverage oThis book contains the full papers presented at the MICCAI 2013 workshop Computational Methods and Clinical Applications for Spine Imaging. The workshop brought together researchers representing several fields, such as Biomechanics, Enginee不理会 发表于 2025-3-27 09:35:14
Studying Vibrational Communicationentation results can be acquired within only a few iterations. Our experiments validate the capability of the proposed method with promising segmentation performance, even though the resolution and the contrast of our datasets are low.混沌 发表于 2025-3-27 14:31:17
Rafael L. Rodríguez,Flavia Barbosa shape boundaries, the Willmore energy helps to capture the detail shape and curvature information of the vertebrae. Experiment on CT images of normal and fractured spinal vertebrae demonstrate promising results in 3D segmentation.Hyperlipidemia 发表于 2025-3-27 18:10:11
Studying Vibrational Communication various Gaussian noise levels. The experimental results show that the noise immunity and the segmentation accuracy of our framework are much higher than scalar level sets approaches. Additionally, the construction of the shape model using 2D-PCA is computationally more efficient than PCA.Gentry 发表于 2025-3-27 22:26:57
http://reply.papertrans.cn/24/2327/232688/232688_37.png凹槽 发表于 2025-3-28 03:56:32
Amy L. Shelton,Jeffrey M. Zacksstudies of syndesmophyte development and growth. After one year, the 3D algorithm showed an increase in syndesmophyte volume in 75 % of patients, while radiography showed an increase in only 15 % of patients.闷热 发表于 2025-3-28 06:59:51
http://reply.papertrans.cn/24/2327/232688/232688_39.pngfidelity 发表于 2025-3-28 13:18:28
Stufen der Anordnung in Affinen Räumene obtained with the multi-level model were significantly better than those obtained with the traditional shape model. These initial results warrant further investigation of potential benefits that the multi-level statistical shape models can have in spine image analysis.