Brain Tissue Characterization via Non-supervised One-Dimensional Kohonen Networks

This work is devoted to describe a potential use of the 1-dimensional Kohonen Networks in the automatic non-supervised classification of tissue in the human brain. Possible perspectives of application include the automatic delineation of areas on the cerebral map. One of the main aspects considered in this work is related to the fact that tissue classification obtained through Kohonen networks is achieved by taking in account the tissue and its associated neighborhood. By this way, it is possible to argue that the obtained characterizations are sustained in the topology and geometry of the human cranium.