Brain tumour segmentation in MRI: knowledge-based system and region growing approach

We present in this paper a method for MRI brain tumour segmentation, so we propose a general framework that is a combination of paradigms, in order to have a hybrid segmentation method, automatic and unsupervised. In the first phase, expertise and characteristics derived from MRI images are combined to define heuristics for the development of the classification approach. In the second phase, refinement of the tumour contour is achieved by using the region growing method. The results are good and visually validate by radiologists.

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