Image interpretation based on image processing and knowledge-guided data analysis

• Autorzy: Belikova T. P. , Stenina I. I. , Yashunskaya N. I.
• Konferencja: Conference on Computer Graphics and Image Processing, GKPO' 98 (5 ; 18-22.05.1998 ; Borki, Poland)
• Języki publikacji: EN

Abstrakty

EN

A series of methods has been developed to promote medical image analysis and interpretation in complex diagnostic task. Image processing methods wher used for better representation of informative features for the expert's analysis. Then the expert's descriptions of processed image where colected in the database to find discriminative features and create classification decision rules. Created threshold rules were interpreted by physicans as a syndrome- like construction conventional for medicine. We proposed some statistics that were helpful for measuring some discrimenative features directly in the image ro realze unbiased expert-independed part of image descriptions. Developed methods were applied for early peripheral lung cancer diagnosis and helped to improve the efficacyb of image interpretation for phisicians of different qualifications.

Słowa kluczowe

EN

image processing; knowledge-guided image analysis; uncertain data interpretation; computer aided image processing

• Wydawca: Institute of Information Technology of the Warsaw University of Life Sciences – SGGW
• Czasopismo: Machine Graphics and Vision
• Rocznik: 1998
• Tom: Vol. 7, No. 1/2
• Strony: 187--196
• Opis fizyczny: Bibliogr. 6 poz.

Twórcy

autor

Belikova T. P.

autor

Stenina I. I.

autor

Yashunskaya N. I.

• Institute for Information Transmission Problems, RAS, B. Karetny, 19, 101447 Moscow, Russia