title: New aspects of using the structural graph-grammar based techniques for recognition of selected medical images.
abstract: This report will describe the application of syntactic pattern recognition methods for analysis of morphology and recognition of pathologic symptoms of chronic diseases such as upper urinary tract disorders. Detection of these lesions will be assisted by the special graph-grammar developed in our institute for efficient analysis and recognition of such lesions. We present key points of methodology and practical results of its application.
authors.affiliation: University of Mining and Metallurgy, Institute of Automatics, Krakow, Poland. mogiela@agh.edu.pl
authors.forename: M R
authors.initials: MR
authors.lastname: Ogiela
authors.forename: R
authors.initials: R
authors.lastname: Tadeusiewicz
mesh_terms: D003952:Diagnostic Imaging; D006801:Humans; D010363:Pattern Recognition, Automated; D014570:Urologic Diseases / Q000175:diagnosis