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This report will describe the application of syntactic pattern recognition
methods for analysis of morphology and recognition of pathologic symptoms o
f chronic diseases such as upper urinary tract disorders. Detection of thes
e lesions will be assisted by the special graph-grammar developed in our in
stitute for efficient analysis and recognition of such lesions. We present
key points of methodology and practical results of its application. Copyrig
ht (C) 2001 by W.B. Saunders Company.