title: Texture-based X-ray image segmentation by topological map.
abstract: The texture-based segmentation of x-ray images of focal bone lesions using topological maps is introduced. Texture characteristics are described by image-point correlation of feature images to feature vectors. For the segmentation, the topological map is labeled using an improved labeling strategy. Results of the technique are demonstrated on original and synthetic x-ray images and quantified with the aid of quality measures. In addition, a classifier-specific contribution analysis is applied for assessing the feature area.
authors.affiliation: Institute for Medical Statistics and Information Processing, Department of Medical Informatics, Benjamin Franklin University Clinic, Free University of Berlin, Hindenburgdamm 30, 12200 Berlin, Germany.
authors.forename: E
authors.initials: E
authors.lastname: Pelikan
authors.forename: F
authors.initials: F
authors.lastname: Vogelsang
authors.forename: T
authors.initials: T
authors.lastname: Tolxdorff
mesh_terms: D001847:Bone Diseases / Q000000981:diagnostic imaging*; D001859:Bone Neoplasms / Q000000981:diagnostic imaging; D006801:Humans; D007719:Knee Joint / Q000000981:diagnostic imaging; D011856:Radiographic Image Enhancement / Q000379:methods*