title: Combined bone lesion analysis in 3D CT data of vertebrae.
abstract: Two novel statistically based methods for bone lesion detection and classification are presented. Together with the previously published MRF method [15], they form a triad of mutually complementary methods that promise, when fused, to enable higher reliability of bone lesion assessment.
authors.forename: J
authors.initials: J
authors.lastname: Jan
authors.forename: M
authors.initials: M
authors.lastname: Novosadova
authors.forename: J
authors.initials: J
authors.lastname: Demel
authors.forename: P
authors.initials: P
authors.lastname: Ourednicek
authors.forename: J
authors.initials: J
authors.lastname: Chmelik
authors.forename: R
authors.initials: R
authors.lastname: Jakubicek
mesh_terms: D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D013125:Spinal Neoplasms / Q000000981:diagnostic imaging*; D013131:Spine / Q000000981:diagnostic imaging*; D014057:Tomography, X-Ray Computed / Q000379:methods*