Titlebook: Computational Methods and Clinical Applications for Spine Imaging; 6th International Wo Yunliang Cai,Liansheng Wang,Shuo Li Conference proc

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Spectral Theory in the Singular Caseand then aggregate the obtained boundary scoremap with the original spinal X-rays images to input another angle estimation network to make high-precision regression prediction for cobb angle. We evaluate our method in the AASCE19 challenge, and our result achieves 22.1775 SMAPE that shows strong competitiveness compared to other excellent methods.

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Detection of Vertebral Fractures in CT Using 3D Convolutional Neural Networksdictors for secondary osteoporotic fractures. We present a detection method to opportunistically screen spine-containing CT images for the presence of these vertebral fractures. Inspired by radiology practice, existing methods are based on 2D and 2.5D features but we present, to the best of our know

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Vertebral Labelling in Radiographs: Learning a Coordinate Corrector to Enforce Spinal Shapeowever, due to tissue overlaying and size of spinal radiographs, vertebrae localization and labeling are challenging and complicated. To address this, we propose a robust approach for landmark detection in large and noisy images and apply it on spinal radiographs. In this approach, the model has a h

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