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Proceedings Paper

Digital Image Analysis Of Cervical Biopsies
Author(s): Raymond J. Madachy; Yao S. Fu
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Paper Abstract

Digital image analysis techniques and statistical discriminant analysis are used to identify mitotic cells in the biopsies of cervical dysplasia. This dysplasia is a preinvasive stage of cervical cancer. Parameters extracted from each cell include areal and geometrical measures, optical density statistics, bending energy, and various statistical texture features. The discriminant analysis attempts to classify mitotic cells from those in interphase on the basis of the image analysis output data vectors using pre-scored classifications. The first comprehensive trial of the imaging technique for a dataset of 32 cervical cells showed that 88% of the cells could be properly identified automatically. A fast, accurate and robust expert imaging system is ultimately desired for the classification of cervical cancer and other types of malignancy.

Paper Details

Date Published: 25 May 1989
PDF: 5 pages
Proc. SPIE 1092, Medical Imaging III: Image Processing, (25 May 1989); doi: 10.1117/12.953275
Show Author Affiliations
Raymond J. Madachy, UCLA (United States)
Yao S. Fu, UCLA (United States)

Published in SPIE Proceedings Vol. 1092:
Medical Imaging III: Image Processing
Samuel J. Dwyer; R. Gilbert Jost; Roger H. Schneider, Editor(s)

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