Titlebook: Recent Advances in Computational Methods and Clinical Applications for Spine Imaging; Jianhua Yao,Ben Glocker,Shuo Li Book 2015 Springer I

吃掉

jocular

Localisation of Vertebrae on DXA Images Using Constrained Local Models with Random Forest Regressionained Local Models (RFRV-CLMs) for this task and show that, while they lead to slightly poorer median errors than AAMs, they are much more robust, reducing the proportion of fit failures by 68?%. They are thus more suitable for use in computer-aided VFA systems.

巧辦法

Bone Profiles: Simple, Fast, and Reliable Spine Localization in CT Scans1.5 and 0.4?s are reported on a single core. Due to its slice-wise nature, the method can be easily parallelized and fractions of the reported runtimes can be further achieved. Our memory requirements are upper bounded by a single CT slice.

增長

certitude

Automated Radiological Grading of Spinal MRI a heterogeneous clinical dataset containing 1,710 Pfirrmann-graded discs, from 285 symptomatic back pain patients. We are able to predict the grade to . precision at 85.8?% accuracy. Our novel method proposes new image features that outperform previous features and utilizes techniques to improve robustness to MR imaging variations.