Artificial intelligence approaches in histology
- 作者: Yasnov A.O.1, Remez A.I.1, Mayer A.O.1
 - 
							隶属关系: 
							
- UNIM Ltd
 
 - 期: 卷 3, 编号 1S (2022)
 - 页面: 20-20
 - 栏目: 会议报告摘要
 - URL: https://bakhtiniada.ru/DD/article/view/106787
 - DOI: https://doi.org/10.17816/DD105702
 - ID: 106787
 
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作者简介
A. Yasnov
UNIM Ltd
							编辑信件的主要联系方式.
							Email: yasnov.artur@gmail.com
				                					                																			                												                	俄罗斯联邦, 							Moscow						
A. Remez
UNIM Ltd
														Email: yasnov.artur@gmail.com
				                					                																			                												                	俄罗斯联邦, 							Moscow						
A. Mayer
UNIM Ltd
														Email: yasnov.artur@gmail.com
				                					                																			                												                	俄罗斯联邦, 							Moscow						
参考
- Ioffe S, Szegedy Ch. Batch normalization: accelerating deep network training by reducing internal covariate shift. ICML’15: Proceedings of the 32nd International Conference on Machine Learning. July 2015. Vol. 37. Available from: https://doi.org/10.48550/arXiv.1502.03167
 - Ronneberger O, Fischer P, Brox T. U-Net: Convolutional Networks for Biomedical Image Segmentation. In: Navab N, Hornegger J, Wells W, Frangi A, editors. Medical Image Computing and Computer-Assisted Intervention ― MICCAI 2015. MICCAI 2015. Lecture Notes in Computer Science, vol 9351. Cham: Springer; 2015. doi: 10.1007/978-3-319-24574-4_28
 - Xie S, Girshick R, Dollár P, Tu Zh, He K. Aggregated Residual Transformations for Deep Neural Networks. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2017. doi: 10.1109/cvpr.2017.634
 
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