PUMA
Istituto di Scienza e Tecnologie dell'Informazione     
Gurevich I. B., Yashina V., Niemann H., Salvetti O. Medical Image Mining on the Base of Descriptive Image Algebras. In: First International Conference on Health Informatics. HEALTHINF 2008 (Funchal, Madeira, Portugal, 28-31 January 2008). Proceedings, vol. 1 pp. 66 - 73. Luís Azevedo and Ana Rita Londral. INSTICC Press- Institute for Systems and Technologies of Information, Control and Communication, 2008.
 
 
Abstract
(English)
The paper is devoted to the development and formal representation of the descriptive model of information technology for automating morphologic analysis of cytological specimens (lymphatic system tumors). The main contributions are detailed description of algebraic constructions used for creating of mathematical model of information technology and its specification in the form of algorithmic scheme based on Descriptive Image Algebras. It is specified the descriptive model of an image recognition task and the stage of an image reduction to a recognizable from. The theoretical base of the model is the Descriptive Approach to Image Analysis and its main mathematical tools. It is demonstrated practical application of algebraic tools of the Descriptive Approach to Image Analysis and presented an algorithmic scheme of a technology implementing the apparatus of Descriptive Image Algebras.
Subject Image mining
Image Algebras
Medical Image Analysis
Pattern Recognition in Image Understanding
Information Technologies
Automated Diagnosis
I.2.10 Vision and Scene Understanding
G.1 Numerical Analysis
I.5.4 Pattern Recognition. Applications
J.3 Life and Medical Sciences


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