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J-GLOBAL ID:201802225475652594   Reference number:18A0414563

SEGMENTATION OF NERVE ON ULTRASOUND IMAGES USING DEEP ADVERSARIAL NETWORK

深層敵対的ネットワークを用いた超音波画像上の神経の分割
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Volume: 14  Issue:Page: 53-64  Publication year: Feb. 2018 
JST Material Number: F1199A  ISSN: 1349-4198  Document type: Article
Article type: 原著論文  Country of issue: Japan (JPN)  Language: ENGLISH (EN)
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Acoustic signal processing  ,  Artificial intelligence 
Reference (24):
  • J. Van de Velde, J. Wouters, T. Vercauteren, W. De Gersem, F. Duprez, W. De Neve and T. Van Hoof, Morphometric atlas selection for automatic brachial plexus segmentation, International Journal of Radiation Oncology* Biology* Physics, vol.92, no.3, pp.691-698, 2015.
  • J. C. Gadsden, J. J. Choi, E. Lin and A. Robinson, Opening injection pressure consistently detects needle-nerve contact during ultrasound-guided interscalene brachial plexus block, The Journal of the American Society of Anesthesiologists, vol.120, no.5, pp.1246-1253, 2014.
  • E. Shelhamer, J. Long and T. Darrell, Fully convolutional networks for semantic segmentation, IEEE Trans. Pattern Analysis and Machine Intelligence, vol.39, no.4, pp.640-651, 2017.
  • A. Krizhevsky, I. Sutskever and G. E. Hinton, Imagenet classification with deep convolutional neural networks, Advances in Neural Information Processing Systems, pp.1097-1105, 2012.
  • H. Noh, S. Hong and B. Han, Learning deconvolution network for semantic segmentation, Proc. of the IEEE International Conference on Computer Vision, pp.1520-1528, 2015.
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