1. A device comprising: an image acquiring module adapted to receive an image comprising at least a portion of animal or human tissue; a delineation module adapted to indicate an analysis zone in said acquired image; a feature extractor module adapted to extract quantitative information from said analysis zone; a machine learning module adapted to receive said extracted information and apply at least one detection algorithm to assess a condition of said tissue, wherein the feature extractor module comprises at least a rotation compensation module to compensate for the rotation of the analysis zone, wherein the feature extractor module is further arranged to extract quantitative information corresponding to at least one of the following: characteristics calculated from a co-occurrence matrix of said analysis zone; first and second order statistical characteristics of the analysis zone; characteristics obtained by gradients of the analysis zone in one of a whole of or in portions thereof; characteristics obtained by cascading; a characteristic orientation and a local phase of at least a portion of the analysis zone wherein the feature extractor module is adapted to simultaneously extract quantitative information corresponding to a plurality of characteristics, wherein the machine learning module is arranged to select from a plurality of algorithms depending on the characteristics used by the feature extractor module, and wherein the machine learning module is further arranged to combine a plurality of algorithms to assess said condition of said tissue.