Fully automated multi-parametric brain tumour segmentation using superpixel based classification.

•Preprocessing is proposed to compensate inherent noise and low contrast.•A minimal set of highly representative regional features are employed.•The problem of class imbalance at a regional level is addressed for the first time.•Random Forest performance is much better than Support Vector Machine.