Machine Learning techniques can provide useful automatic tools. Segmentation of brain tumors is a time consuming task that could potentially beneficiate from its automation. This work investigate and compare the performances of two frameworks: Random forest and DenseNet. The former is a well known framework and the latter is a novel technique based on deep learning.
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