Importance

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Abstract

Provided a method of automated classifying a tissue and a system thereof. The method comprises predefining a classification set comprising one or more classification parameters; acquiring data indicative of the tissue characteristics and sufficient for deriving values of said classification parameters; processing the acquired data and generating a value vector characterizing the tissue, said vector characterized by values of said classification parameters; matching the value vector to a plurality of predefined classification clusters in order to associate the tissue to be classified to an appropriate cluster, thus giving rise to a matching cluster; transforming the value vector into a score value by use of a transformation algorithm, wherein the transformation algorithm and/or parameters thereof are selected in accordance with the matching cluster; comparing the score value with a classification criterion corresponding to said matching cluster; and providing a classification decision in accordance with results of said comparing.

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First Claim