Author:
Wollmann Thomas,Ivanova Julia,Gunkel Manuel,Chung Inn,Erfle Holger,Rippe Karsten,Rohr Karl
Publisher
Springer Berlin Heidelberg
Reference10 articles.
1. Dima AA, Elliott JT, Filliben JJ, et al. Comparison of segmentation algorithms for fluorescence microscopy images of cells. Cytometry Part A. 2011;79(7):545–559.
2. Ronneberger O, Fischer P, Brox T. U-Net: convolutional networks for biomedical image segmentation. Proc MICCAI. 2015; p. 234–241.
3. Huh M, Agrawal P, Efros AA. What makes ImageNet good for transfer learning?. arXiv:1608.08614 ; 2016.
4. Ioffe S, Szegedy C. Batch normalization: Accelerating deep network training by reducing internal covariate shift. Proc ICML. 2015; p. 448–456.
5. He K, Zhang X, Ren S, et al. Deep residual learning for image recognition. Proc CVPR. 2016; p. 770–778.
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