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Image analysis combined with pattern recognition techniques has been applied to the problem, based on 15 or 17 image features. The use of limited data for training and validation set was optimized using a &lt;italic&gt;k&lt;\/italic&gt;-fold validation technique allowing performance measurement of different MNN configurations. 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