Analysis of periapical lesion using statistical textural features.
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.
Caputo
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B
Physics Department, University of Rome La Sapienza Piazza A. Moro 3, 00161 Rome, Italy.
Gigante
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GE
D006801:Humans; D016571:Neural Networks, Computer; D010483:Periapical Diseases / Q000000981:diagnostic imaging*; D011857:Radiographic Image Interpretation, Computer-Assisted