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Add Relative Volume Error metric #1

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This PR adds a new metric, Relative Volume Error.

If the prediction is smaller than the reference, the relative volume difference is negative.
If the prediction is larger than the reference, the relative volume difference is positive.

- if both reference and prediction are empty --> model learned correctly --> setting 0 representing no over- or under-segmentation
- if reference is empty, prediction is not empty --> model did not learn correctly --> setting positive value representing overestimation
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