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The majority voting approach. The majority voting approach uses the outcome of three SVM models, each trained on two folds of ds3-a, to make the final dense tissue segmentation. The majority voting scheme assigns the dense or non-dense label to each superpixel based on at least two SVM models agreeing on the label.
