Last revised by Andrew Murphy on 20 Nov 2019

Centering is a statistical operation on data. In the context of neural networks for image classification related tasks, it implies intensity normalization across images in training data sets. In the context of neural networks specifically for x-ray based images it therefore implies correction for different exposures in different images which will ultimately give the neural network more accurate classification results.

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