title: [Breast cancer grading by automated image processing].
abstract: Individual oncological therapy of carcinoma of the breast depends on information on the individual prognosis and malignancy. Image processing and analysis of the digital structure of the cellular nucleus adds new prognostic data to standard morphological and biochemical parameters and should be used for further individualisation of oncological therapy.
authors.affiliation: Universitätsfrauenklinik Mainz.
authors.forename: R J
authors.initials: RJ
authors.lastname: Seufert
authors.forename: F W
authors.initials: FW
authors.lastname: Casper
authors.forename: R E
authors.initials: RE
authors.lastname: Herzog
authors.forename: P G
authors.initials: PG
authors.lastname: Knapstein
mesh_terms: D001940:Breast / Q000473:pathology; D001943:Breast Neoplasms / Q000473:pathology*; D002467:Cell Nucleus / Q000648:ultrastructure; D004273:DNA, Neoplasm / Q000032:analysis; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000295:instrumentation*; D008838:Microcomputers; D009367:Neoplasm Staging; D011379:Prognosis
chemical_list: D004273:DNA, Neoplasm
vernacular_title: Mammakarzinomgrading durch automatisierte Bildverarbeitung.