Before revision:  Moreover, dominant features can lead to learning spurious correlations. For instance , indistinguishable differences in the sharpness of the images from two different scanners can degrade the performance of the network significantly.
After revision:  For example , indistinguishable differences in the sharpness of the images from two different scanners can degrade the performance of the network significantly.