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PubMed · 11187519

Analysis of periapical lesion using statistical textural features.

B Caputo·G E Gigante
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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.

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HumansNeural Networks, ComputerPeriapical DiseasesRadiographic Image Interpretation, Computer-AssistedJournal Article

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B Caputo, G E Gigante. 2000. Analysis of periapical lesion using statistical textural features.. https://pubmed.ncbi.nlm.nih.gov/11187519/

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