PUMA
Istituto di Scienza e Tecnologie dell'Informazione     
Gurevich I. B., Koryabkina I., Yashina V., Niemann H., Salvetti O. An application of a descriptive image algebra approach for diagnostic analysis of cytological specimens. In: 2nd International Conference on Computer Vision Theory and Applications (Barcelona, 8-11 March 2007). Proceedings, pp. 230 - 237. A. Ranchordas and H. Araujo and J. Vitria (eds.). INSTICC, 2007.
 
 
Abstract
(English)
The paper is devoted to representation of a model of an information technology for automation of diagnostic analysis of cytological specimens of patient with lymphatic system tumors. The main contribution is implementation of the model by algebraic means. The theoretical base of the model is the Descriptive Approach to Image Analysis. The paper demonstrates a practical application of its algebraic tools - it is shown how to construct a model of a technology for automation of diagnostic analysis of cytological specimens using Descriptive Image Algebras.
Subject Image mining
Image algebras
Medical image analysis
Feature extraction
Pattern recognition in image understanding
Information technologies
Automated diagnosis
Mathematical models
I.5.1 Models
I.5.4 Applications
J.3 Life and Medical Sciences


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