Computer vision applied to the detection and localisation of acoustic neuromas from head MR images
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A method is described for the detection and localisation of benign tumours from head MR images. Detection is carried out at the pixel level using a neural network based approach. The results of this are fused with regions, formed by a robust edge-region segmentation, to enable identification of regions corresponding to part of a tumour. The method described achieves a high sensitivity and specificity, and all tumours in the example set are detected.