Spinal cord gray matter segmentation using deep dilated convolutions
Author:
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
http://www.nature.com/articles/s41598-018-24304-3.pdf
Reference48 articles.
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2. Schlaeger, R. et al. Spinal cord gray matter atrophy correlates with multiple sclerosis disability. Annals of Neurology 76, 568–580, https://doi.org/10.1002/ana.24241 (2014).
3. Paquin, M.-Ê. et al. Spinal Cord Gray Matter Atrophy in Amyotrophic Lateral Sclerosis. American Journal of Neuroradiology https://doi.org/10.3174/ajnr.A5427 (2017).
4. De Leener, B., Taso, M., Cohen-Adad, J. & Callot, V. Segmentation of the human spinal cord. Magnetic Resonance Materials in Physics, Biology and Medicine 29, 125–153, https://doi.org/10.1007/s10334-015-0507-2 (2016).
5. De Leener, B., Kadoury, S. & Cohen-Adad, J. Robust, accurate and fast automatic segmentation of the spinal cord. NeuroImage 98, 528–536, https://doi.org/10.1016/j.neuroimage.2014.04.051 (2014).
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