Art

J-GLOBAL ID：201802219843243452   Reference number：18A0732133

Trial to determine the sex of salmon using CNN

CNNを用いた鮭の雌雄判別の試行

Author (2)： ABE SHUJI (東京工科大 応用生物) ,  ISHIHATA HIROAKI (東京工科大 コンピュータサイエンス)
Material： 電子情報通信学会技術研究報告  (IEICE Technical Report (Institute of Electronics, Information and Communication Engineers))
Volume： 117  Issue： 484(IE2017 116-158)  Page： 177-182  Publication year： Mar. 01, 2018 
JST Material Number： S0532B  ISSN： 0913-5685  Document type： Proceedings
Article type： 原著論文  Country of issue： Japan (JPN)  Language： JAPANESE (JA)

Thesaurus term： neural network (biomodel) ,  *Oncorhynchus keta ,  *sexing ,  recognition ,  supervised learning ,  Machine Learning ,  system ,  image correction ,  video camera ,  *image recognition ,  image processing ,  Data Collection ,  pattern classification ,  web camera ,  multi-camera system ,  convolutional neuralnetwork
Semi thesaurus term： convolutional neural network ,  sexing ,  discriminant

JST classification (1)： Pattern recognition  (JE07000S)

Reference (22)：

• 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.
• K. Simonyan and A. Zisserman, “Very deep convolutional networks for large-scale image recognition,” arXiv preprint arXiv:1409.1556, pp.1-14, 2014.
• C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, and A. Rabinovich, “Going deeper with convolutions,” Proceedings of the IEEE conference on computer vision and pattern recognition, pp.1-9, 2015.
• K. He, X. Zhang, S. Ren, and J. Sun, “Delving deep into rectifiers: Surpassing human-level performance on imagenet classification,” Proceedings of the IEEE international conference on computer vision, pp.1026-1034, 2015.
• F. Milletari, N. Navab, and S.-A. Ahmadi, “V-net: Fully convolutional neural networks for volumetric medical image segmentation,” 3D Vision (3DV), 2016 Fourth International Conference onIEEE, pp.565-571 2016.

Terms in the title (5)： CNN ,  鮭 ,  雌雄 ,  判別 ,  試行