title: Fractal geometric analysis of lung cancer angiogenic patterns.
abstract: For medical images, the fractal dimension D may be used as an index of irregularity. The angiogenesis patterns of lung cancer were analysed by means of the perimeter-area and box counting algorithms. The fractal nature of all images in the sense of the perimeter-area method and of 68% images in the sense of the box-counting method suggest the possibility to use the fractal dimension as a new non-morphometric parameter evaluating angiogenic processes in neoplasms.
authors.affiliation: Institute of Computer Science, University of Bialystok, Poland. edoczer@alpha.uwb.edu.pl
authors.forename: E
authors.initials: E
authors.lastname: Oczeretko
authors.forename: M
authors.initials: M
authors.lastname: Juczewska
authors.forename: I
authors.initials: I
authors.lastname: Kasacka
mesh_terms: D000230:Adenocarcinoma / Q000098:blood supply / Q000473:pathology*; D017709:Fractals; D006801:Humans; D019044:Image Cytometry / Q000379:methods*; D008175:Lung Neoplasms / Q000098:blood supply / Q000473:pathology*; D008954:Models, Biological; D009389:Neovascularization, Pathologic / Q000473:pathology*