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Classification performances in separating images containing liver background from uniform background with 10-fold cross-validation. Each ROC line represents a different fitted model as fewer features are allowed for use in the prediction. Average performance of (a) FBP was 0.93 and for (b) IR was 0.89, illustrating the texture- and image-based features are capable of differentiating between the two backgrounds, regardless of reconstruction algorithm.
