title: [Grading of brain tumors using computer-assisted analysis of CT images and anamnestic data].
abstract: For the classification of various brain tumours data from 139 patients with histologically proven diagnosis were used. With linear discriminant analysis and hierarchic classification of clinical and anamnestic data and features obtained by Walsh-transformation of image data presently 7 classes of tumours are differentiated with an estimated classification rate of 85% and reclassification rate of 92%.
authors: S
authors: S
authors: Michalik
authors: M
authors: M
authors: Michalik
authors: S
authors: S
authors: Ziegengeist
authors: M
authors: M
authors: Wolf
authors: B
authors: B
authors: Meffert
authors: H
authors: H
authors: Martin
authors: K
authors: K
authors: Friedel
authors: D
authors: D
authors: Mohnike
authors: J
authors: J
authors: Planitzer
authors: R D
authors: RD
authors: Koch
mesh_terms: D001932:Brain Neoplasms / Q000145:classification* / Q000000981:diagnostic imaging; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008499:Medical Records; D014057:Tomography, X-Ray Computed
vernacular_title: Zum Hirntumorgrading durch computergestützte Analyse von CT-Bildern und anamnestischen Daten.