Skip to Main Content (Press Enter)

Logo CNR
  • ×
  • Home
  • People
  • Outputs
  • Organizations
  • Expertise & Skills

UNI-FIND
Logo CNR

|

UNI-FIND

cnr.it
  • ×
  • Home
  • People
  • Outputs
  • Organizations
  • Expertise & Skills
  1. Outputs

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

Academic Article
Publication Date:
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.
Iris type:
01.01 Articolo in rivista
Keywords:
Image Mining; Descriptive Approach; Image Classification
List of contributors:
Salvetti, Ovidio
Handle:
https://iris.cnr.it/handle/20.500.14243/63014
Published in:
PATTERN RECOGNITION AND IMAGE ANALYSIS
Journal
  • Overview

Overview

URL

http://www.springerlink.com/content/25446404472658u5/
  • Use of cookies

Powered by VIVO | Designed by Cineca | 26.5.0.0 | Sorgente dati: PREPROD (Ribaltamento disabilitato)