title: Analysis of periapical lesion using statistical textural features.
abstract: In this work we present a quantitative study on different regions of periapical images with a series of textural features, extracted using cooccurrence matrices; those features are used for a pattern recognition analysis by means of an artificial neural network. The obtained results show that it is possible to recognize in an objective way changes in bone pattern.
authors.affiliation: Physics Department, University of Rome La Sapienza Piazza A. Moro 3, 00161 Rome, Italy.
authors.forename: B
authors.initials: B
authors.lastname: Caputo
authors.forename: G E
authors.initials: GE
authors.lastname: Gigante
mesh_terms: D006801:Humans; D016571:Neural Networks, Computer; D010483:Periapical Diseases / Q000000981:diagnostic imaging*; D011857:Radiographic Image Interpretation, Computer-Assisted