title: [Classification of spot-shaped lung changes by texture analysis].
abstract: Classification of opacities in pneumoconiosis was accomplished by textural analysis in digitised chest x-rays. A good discrimination was achieved by a set of 10 parameters. These texture measures were computed by algorithms for edge detection, local extremes, difference statistics, the co-occurrence matrix and the power spectrum. The classes of the training set were classified correctly at 99%. A test set comprising additional classes that were not contained in the training set, was classified at 82%.
authors.affiliation: Röntgenabteilung Innere Medizin des Medizinischen Zentrums für Radiologie des Klinikums der Universität, Giessen.
authors.forename: J F
authors.initials: JF
authors.lastname: Desaga
authors.forename: J
authors.initials: J
authors.lastname: Dengler
authors.forename: P
authors.initials: P
authors.lastname: Ipolt
authors.forename: U
authors.initials: U
authors.lastname: Engelmann
authors.forename: H P
authors.initials: HP
authors.lastname: Meinzer
mesh_terms: D000465:Algorithms; D006801:Humans; D007090:Image Interpretation, Computer-Assisted; D008168:Lung / Q000000981:diagnostic imaging*; D008722:Methods; D011009:Pneumoconiosis / Q000145:classification / Q000000981:diagnostic imaging; D011857:Radiographic Image Interpretation, Computer-Assisted
vernacular_title: Klassifizierung fleckförmiger Lungenveränderungen durch Texturanalyse.