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  • Articles: DFG German National Licenses  (2)
  • 2,2-Dioxopropylnitrosamine  (1)
  • 2D binary shape description  (1)
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  • Articles: DFG German National Licenses  (2)
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  • 1
    ISSN: 1432-1335
    Keywords: Renal pelvis ; Carcinogenesis ; 2,2-Dioxopropylnitrosamine ; Rat
    Source: Springer Online Journal Archives 1860-2000
    Topics: Medicine
    Notes: Summary The carcinogenicity of 2,2-dioxopropylnitrosamine on the urinary tract was investigated in three experimental groups of Sprague-Dawley rats (15 males, 15 females/group) by weekly subcutaneous administration for the life of the carcinogen at dose levels 1/5, 1/10 and 1/20 of the LD50, and compared with that in a similar group of untreated controls. It resulted in the induction of urinary tract tumours in 42 out of 79 effective animals (53%). Of these animals, 38 developed tumours within the renal pelvis. In the high-dose group, females had a 100% incidence of renal pelvic tumours, and males 73%. In all experimental groups, renal pelvic tumours were more frequent than ureteral and vesical ones. Histologically, the tumours were transitional cell papillomas and carcinomas, except for one squamous carcinoma. Out of 66 tumours, 42 (64%) were low-grade. High-grade tumours arose mainly in the renal pelvis of animals belonging to the highest-dose group. This experiment offers a useful model for the study of mechanisms involved in renal pelvic carcinogenesis.
    Type of Medium: Electronic Resource
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  • 2
    Electronic Resource
    Electronic Resource
    Springer
    International journal of computer vision 34 (1999), S. 5-17 
    ISSN: 1573-1405
    Keywords: 2D binary shape description ; stochastic mathematical morphology ; granulometry ; geometric covariogram ; shape matching
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science
    Notes: Abstract The subject of this paper is to propose and test a set of numerical descriptors of 2D binary planar shapes. Given a shape, A, the transformations of A with a given mathematical morphological operation and different structuring elements are considered. The measures of this family of transformed sets provide a numerical description of the original set A. These descriptors are very robust against noise and maintain a reasonable discriminatory power. The robustness against different levels of contour degradation is tested by simulation. Starting with a clean (without noise) set, Λ, it is assumed that the observed set, A, is a noisy version (with contour degradation) of Λ. The performance of the descriptors, when they are used to compare different shapes or shapes from a scene with models, is studied and compared with related descriptors based on the granulometric analysis of the original set, which are the closest previous alternative to our approach in the literature.
    Type of Medium: Electronic Resource
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