Automatic system for the classification of cellular categories in cytological images

Marinette Revenu; Abderrahim Elmoataz; Christine Porquet; Hubert Cardot

doi:10.1117/12.150150

20 August 1993 Automatic system for the classification of cellular categories in cytological images

Marinette Revenu, Abderrahim Elmoataz, Christine Porquet, Hubert Cardot

Proceedings Volume 2055, Intelligent Robots and Computer Vision XII: Algorithms and Techniques; (1993) https://doi.org/10.1117/12.150150
Event: Optical Tools for Manufacturing and Advanced Automation, 1993, Boston, MA, United States

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.

Citation Download Citation

Marinette Revenu, Abderrahim Elmoataz, Christine Porquet, and Hubert Cardot "Automatic system for the classification of cellular categories in cytological images", Proc. SPIE 2055, Intelligent Robots and Computer Vision XII: Algorithms and Techniques, (20 August 1993); https://doi.org/10.1117/12.150150

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