[Classification of spot-shaped lung changes by texture analysis].
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%.
Desaga
J F
JF
Röntgenabteilung Innere Medizin des Medizinischen Zentrums für Radiologie des Klinikums der Universität, Giessen.
Dengler
J
J
Ipolt
P
P
Engelmann
U
U
Meinzer
H P
HP
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
Klassifizierung fleckförmiger Lungenveränderungen durch Texturanalyse.