Morphometry of bladder carcinoma: I. The automatic delineation of urothelial nuclei in tissue sections using an ibas II image array processor

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Abstract
Semi‐automatic methods of morphometry require the boundaries of the objects under study to be drawn by hand. This is slow, tedious and does not guarantee accuracy. Complete automation, with recognition, detection and verification by computer is not yet feasible. Automatic detection of nuclear boundaries with observer verification provides a means of obtaining large amounts of data for analysis, quickly and with similar accuracy to manual tracing.