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Proceedings Paper

Automatic system for the classification of cellular categories in cytological images
Author(s): Marinette Revenu; Abderrahim Elmoataz; Christine Porquet; Hubert Cardot
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Paper Abstract

In this paper, we describe research carried out within the framework of the optimization of an image analyzer dedicated to rapid detection of abnormalities of ploidy in human tumors. The system takes as its input microscopic images of dissociated cells which are to be segmented in order to extract cellular objects, calculate shape and texture measures, and identify each category of cell, by means of two classification methods that are compared and discussed: classification based on the Bayes decision rule and classification using neural networks.

Paper Details

Date Published: 20 August 1993
PDF: 12 pages
Proc. SPIE 2055, Intelligent Robots and Computer Vision XII: Algorithms and Techniques, (20 August 1993); doi: 10.1117/12.150150
Show Author Affiliations
Marinette Revenu, ISMRA--Engineering School of Caen (France)
Abderrahim Elmoataz, ISMRA--Engineering School of Caen (France)
Christine Porquet, ISMRA--Engineering School of Caen (France)
Hubert Cardot, ISMRA--Engineering School of Caen (France)


Published in SPIE Proceedings Vol. 2055:
Intelligent Robots and Computer Vision XII: Algorithms and Techniques
David P. Casasent, Editor(s)

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