Before revision:  The machine learning classifier uses only eight input numerical features and it reaches up to the 97\% of accuracy on the detection task and up to 95\% of accuracy on the segmentation task . Tools from information theory were used for interpreting, in a human readable format, what are the main numerical characteristics of an image to be classified ill or healthy .
After revision:  The machine learning classifier uses only eight input numerical features and it reaches up to the 97\% of accuracy on the detection task and up to 95\% of accuracy on the segmentation task .