Feature extraction is a crucial step in most cytometry studies. In this paper a systematic
approach to feature extraction is presented. The feature sets that have been developed and …

The classification and grading of the non-invasive, intraepithelial neoplasms of the
urothelium are based on the morphological pattern of growth—that is, papillary or flat (and …

Purpose: We report long-term followup data on patients with World Health Organization
(WHO) grade I bladder tumors, and determine whether histopathological subgrouping as …

Although grading is valuable prognostically in pTa and pT1 papillary urothelial carcinoma, it
is unclear whether it provides any prognostic information when applied to the invasive …

Biomedical cell image analysis is one of the main application fields of computerized image
analysis. This paper outlines the field and the different analysis steps related to it. Relative …

OBJECTIVE: To develop an advanced diagnostic method for urinary bladder tumour
grading. A novel soft computing modelling methodology based on the augmentation of fuzzy …

The contemporary classification and grading of human papillary urothelial neoplasms
remains unsettled, with multiple recent suggestions by groups of pathologists with little or no …

Substantial progress has occurred in the classification and grading of urothelial neoplasms
during the past year, chiefly as a result of a consensus effort by pathologists representing the …

An adequate reproducibility in the description of tissue architecture is still a challenge to
diagnostic pathology, sometimes with unfortunate prognostic implications. To assess a …

The possibility that computerized image analysis could increase the reproducibility of
grading of bladder carcinoma as compared to conventional subjective grading made by …