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Descriptive approach to medical image mining. An algorithmic scheme for analysis of cytological specimens

Articolo
Data di Pubblicazione:
2008
Abstract:
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.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
Image Mining; Descriptive Approach; Image Classification
Elenco autori:
Salvetti, Ovidio
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/63014
Pubblicato in:
PATTERN RECOGNITION AND IMAGE ANALYSIS
Journal
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URL

http://www.springerlink.com/content/25446404472658u5/
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