Artificial intelligence approaches in histology

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About the authors

A. O. Yasnov

UNIM Ltd

Author for correspondence.
Email: yasnov.artur@gmail.com
Russian Federation, Moscow

A. I. Remez

UNIM Ltd

Email: yasnov.artur@gmail.com
Russian Federation, Moscow

A. O. Mayer

UNIM Ltd

Email: yasnov.artur@gmail.com
Russian Federation, Moscow

References

  1. 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
  2. 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
  3. 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

Copyright (c) 2022 Yasnov A.O., Remez A.I., Mayer A.O.

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