Rapidly developing Medical Image Understanding [1] field requires fast and accurate context and semantic oriented object recognition methods. This is crucial due to both description's substantialness requirements and diagnostic responsibility. Synthetic approach to medical image analysis is expected, integrating various kinds of knowledge, to facilitate processing and make the results more meaningful. Cognitive Hierarchical Active Partitions is a flexible image analysis tool, facilitating use of semantic and contextual knowledge encoded in patch based linguistic description of a given image. In the paper presented, this technique is evaluated in ventricular system recognition task on example set of brain CT scans.
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