Titlebook: Computational Methods and Clinical Applications for Spine Imaging; Proceedings of the W Jianhua Yao,Tobias Klinder,Shuo Li Conference proce

Systole

书目名称Computational Methods and Clinical Applications for Spine Imaging影响因子(影响力)




书目名称Computational Methods and Clinical Applications for Spine Imaging影响因子(影响力)学科排名




书目名称Computational Methods and Clinical Applications for Spine Imaging网络公开度




书目名称Computational Methods and Clinical Applications for Spine Imaging网络公开度学科排名




书目名称Computational Methods and Clinical Applications for Spine Imaging被引频次




书目名称Computational Methods and Clinical Applications for Spine Imaging被引频次学科排名




书目名称Computational Methods and Clinical Applications for Spine Imaging年度引用




书目名称Computational Methods and Clinical Applications for Spine Imaging年度引用学科排名




书目名称Computational Methods and Clinical Applications for Spine Imaging读者反馈




书目名称Computational Methods and Clinical Applications for Spine Imaging读者反馈学科排名

Interferons

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MINT

Eigenspine: Eigenvector Analysis of Spinal Deformities in Idiopathic Scoliosisund between the anterior-posterior displacement and the sagittal rotation of the vertebrae, and that a somewhat weaker but still strong correlation is found between the lateral displacement and the frontal rotation of the vertebrae. These results are well in-line with the general understanding of id

Oscillate

A Semi-automatic Method for the Quantification of Spinal Cord Atrophyshown in a volunteer scan–rescan study. The method’s reproducibility is compared to similar published quantification approaches. The application to clinical patient data is presented by comparing the cord cross-sections of a group of multiple sclerosis patients with those of a matched control group,

Oscillate

记成蚂蚁

Rafael L. Rodríguez,Flavia Barbosae theory. The framework was applied to segment 50 lumbar vertebrae from 3D computed tomography images, and the resulting symmetric surface distance of . and Dice coefficient of . indicate that accurate segmentation can be obtained by the described framework. Moreover, when compared to the complete g

custody

下垂

Representational Practices in VMT DDD for lumbar spine. We design a classifier to automatically detect degenerated disc (also clinically known as Herniation) using shape potentials. We extract these shape potentials by jointly applying an active shape model (ASM) and a gradient vector flow snake model (GVF-snake). The ASM roughly s