Segmentation of lumbar vertebrae slices from CT images

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Abstract

We describe a fully automated approach to vertebrae segmentation from CT images which operates on superpixels. The method is based on a conditional random field model incorporating constraints learned from labelled superpixel features. The method is shown to provide consistently accurate segmentations of different vertebrae from a variety of subjects.

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Hutt, H., Everson, R., & Meakin, J. (2015). Segmentation of lumbar vertebrae slices from CT images. Lecture Notes in Computational Vision and Biomechanics, 20, 61–71. https://doi.org/10.1007/978-3-319-14148-0_6

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