Cell microscopy images can be viewed as images containing two layers, foreground (cells) and background. On a pixel level, the background is inhomogeneous (even if it looks homogeneous by human eye). By adding random noise to the image dataset, we ensure to add inhomogeneity to the homogeneous black-pixel background [15,16,23]. This results in an improved segmentation performance of the neural network on the corresponding test dataset [24].

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