PUMA
Istituto di Scienza e Tecnologie dell'Informazione     
Gurevich I. B., Yashina V., Koryabkina I., Niemann H., Salvetti O. Descriptive approach to medical image mining. An algorithmic scheme for analysis of cytological specimens. In: Pattern Recognition and Image Analysis, vol. 18 (4) pp. 542 - 562. Pleiades Publishing, Ltd, 2008.
 
 
Abstract
(English)
The present paper is devoted the development and formal representation of a descriptive model for an information technology to automate the morphological analysis of cytologic preparations (a tumor of the lymphatic system). The theoretical basis of the model is a descriptive approach to image analysis and understanding and its main mathematical tools. Practical application of the algebraic tools of the descriptive approach is demonstrated, and the algorithmic scheme of the technology is described in the language of descriptive image algebras.
URL: http://www.springerlink.com/content/t68820t46287/?p=d2c176cdd8bd4edb90706a4c4f698dea&pi=0
DOI: 10.1134/S1054661808040032
Subject Image Mining
Descriptive Approach
Image Classification
I.4 Image Processing and Computer Vision


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