The Gleichschaltung of German Cancer Research

2018 ◽  
pp. 35-57
1988 ◽  
Vol 27 (02) ◽  
pp. 53-57 ◽  
Author(s):  
J. Dengler ◽  
H. Bertsch ◽  
J. F. Desaga ◽  
M. Schmidt

SummaryImage analysis with the aid of the computer has rapidly developed over the last few years. There are many possibilities of making use of this development in the medical and biological field. This paper is meant to give a rather general overview of recent systematics regarding the existing methodology in image analysis. Furthermore, some parts of these systematics are illustrated in greater detail by recent research work in the German Cancer Research Center. In particular, two applications are reported where special emphasis is laid on mathematical morphology. This relatively new approach to image analysis finds growing interest in the image processing community and has its strength in bridging the gap between a priori knowledge and image analysis procedures.


Nature ◽  
1981 ◽  
Vol 292 (5825) ◽  
pp. 665-665
Author(s):  
Jasper Becker

1980 ◽  
Vol 19 (01) ◽  
pp. 16-22
Author(s):  
D. Komitowski ◽  
C. O. Köhler ◽  
D. Naumann ◽  
B. Lance

The information system of experimental oncopathology of the German Cancer Research Center is a computerized data processing program for studying the etiology, pathogenesis and therapy of experimental cancer. This program is adapted to correlate stored data with those from the thesaurus of human pathology. The system is developed and administered by the histodiagnostic facility which serves to collect and register standardized, centralized and current data from all sources. These are: individual investigators, animal laboratory, and central histodiagnostic facility. To record uniform data, a standardized protocol is introduced which entails data sets for information about animals, substances under study, experimental design, and necropsy and histological changes. The data entry takes place semi-automatically by using different codes grouped into three files: for substances, for animals, and for pathological changes. The code for pathological findings is based on SNOP. For data processing the system ALIS is employed which permits input, check and update; reorganisation and confirmation; evaluation.The information system is adapted to the organization and research programs of the German Cancer Research Center. It is a flexible system applicable for different conditions in registering and processing diverse information about animal experiments.


Sign in / Sign up

Export Citation Format

Share Document