Automatic understanding of medical images - new achievements in syntactic analysis of selected medical images

• Autorzy: Tadeusiewicz R. , Ogiela M. R.
• Języki publikacji: EN

Abstrakty

EN

In the paper we try to solve very difficult problem connected with the advances in medical imaging technology: how to replace the goal of image recognition by image understanding. The problem under consideration is crucial one for all applications of information technology in automated systems devoted both for automatic medical diagnosis and successful searching in medical databases distributed troughout the world. The key problem analysis is how to model processes of image understanding by physician. We develop new tool for intelligent perception of differences between images of normal organs and pathological cases, instead of simple image recognition. We also presented how the same method can be used for searching of multimedial medical information in the respective databases. Such indexing approach enables an intelligent selection of interested case of illness based on visual queries.

Słowa kluczowe

EN

image analysis; medical imaging; syntactic pattern recognition; artificial intelligence; image understanding; computer-aided diagnosis; feature extraction

PL

inżynieria biomedyczna; biocybernetyka; medycyna

• Wydawca: Nałęcz Institute of Biocybernetics and Biomedical Engineering of the Polish Academy of Sciences ; Elsevier
• Czasopismo: Biocybernetics and Biomedical Engineering
• Rocznik: 2002
• Tom: Vol. 22, no. 4
• Strony: 17--29
• Opis fizyczny: Bibliogr., rys.

Twórcy

autor

Tadeusiewicz R.

autor

Ogiela M. R.

• Institute of automatics, University of Mining and Metallurgy, Kraków, Poland,