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J-GLOBAL ID：201802215632668441
Reference number：18A0591052
神経細胞セグメンテーションにおける深層畳み込みアーキテクチャの適用方法に関する検討
Author (4)：
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Material：
Volume：
2018
Issue：
ICS-190
Page：
Vol.2018-ICS-190,No.1,1-7 (WEB ONLY)
Publication year：
Feb. 23, 2018
JST Material Number：
U0451A
Document type：
Proceedings
Article type：
原著論文
Country of issue：
Japan (JPN)
Language：
JAPANESE (JA)
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Semi thesaurus term：
Thesaurus term/Semi thesaurus term
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JST classification (2)：
JST classification
Category name(code) classified by JST.
Brain and nervous system models
, Artificial intelligence
Reference (7)：
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Kaynig, V., Vazquez-Reina, A., Knowles-Barley, S., Roberts, M., Jones, T. R., Kasthuri, N., Miller, E., Lichtman, J. and Pfister, H.: Large-scale automatic reconstruction of neuronal processes from electron microscopy images, Medical image analysis, Vol. 22, No. 1, pp. 77-88 (2015).
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Ciresan, D., Giusti, A., Gambardella, L. M. and Schmidhuber, J.: Deep neural networks segment neuronal membranes in electron microscopy images, Advances in neural information processing systems, pp. 2843-2851 (2012).
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Chen, H., Qi, X., Cheng, J.-Z., Heng, P.-A. et al.: Deep Contextual Networks for Neuronal Structure Segmentation., AAAI, pp. 1167-1173 (2016).
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Ronneberger, O., Fischer, P. and Brox, T.: U-net: Convolutional networks for biomedical image segmentation, International Conference on Medical Image Computing and Computer-Assisted Intervention, Springer, pp. 234-241 (2015).
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Long, J., Shelhamer, E. and Darrell, T.: Fully convolutional networks for semantic segmentation, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 3431-3440 (2015).
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