title: Knowledge representation for fuzzy inference aided medical image interpretation.
abstract: Knowledge defines how an automated system transforms data into information. This paper suggests a representation method of medical imaging knowledge using fuzzy inference systems coded in XML files. The imaging knowledge incorporates features of the investigated objects in linguistic form and inference rules that can transform the linguistic data into information about a possible diagnosis. A fuzzy inference system is used to model the vagueness of the linguistic medical imaging terms. XML files are used to facilitate easy manipulation and deployment of the knowledge into the imaging software. Preliminary results are presented.
authors.affiliation: Department of Automation and Applied Informatics, University of Timisoara, Timisoara, Romania. norbert.gal@aut.upt.ro
authors.forename: Norbert
authors.initials: N
authors.lastname: Gal
authors.forename: Vasile
authors.initials: V
authors.lastname: Stoicu-Tivadar
mesh_terms: D000465:Algorithms; D020000:Decision Support Systems, Clinical; D017143:Fuzzy Logic; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods*; D011873:Radiology Information Systems