title: [Grading of urinary bladder tumors by automated microscopic image analysis].
abstract: Studies were undertaken on biopsies from urinary papillomas and urothelial carcinomas of different grades (G1 to G3) along with normal urinary bladder mucosa from a total of 220 patients. They were performed by use of automated microscopic image analysis (system Robotron A 6471, software AMBA/R). As a result, the tumor grading was improved and lead to the separation of both papillomas and G1-carcinomas with high proliferative activity. In addition, it was possible to divide the G2-carcinomas into 2 groups which probably show a different biological behaviour.
authors.affiliation: Institut für Pathologische Anatomie des Bereichs Medizin (Charité) der Humboldt-Universität zu Berlin.
authors.forename: K
authors.initials: K
authors.lastname: Wenzelides
mesh_terms: D002295:Carcinoma, Transitional Cell / Q000473:pathology*; D003201:Computers; D006801:Humans; D007091:Image Processing, Computer-Assisted; D007620:Karyometry; D010212:Papilloma / Q000473:pathology*; D012984:Software; D001743:Urinary Bladder / Q000473:pathology*; D001749:Urinary Bladder Neoplasms / Q000473:pathology*
vernacular_title: Grading von Harnblasentumoren mit der automatisierten Mikroskopbildanalyse.