Image processing and knowledge-guided data analysis for medical diagnostics support

• Autorzy: Belikova T. P. , Stenina I. I. , Yashunskaya N. I.
• Języki publikacji: EN

Abstrakty

EN

A series of methods has been developed to support medical image analysis. Optimal filtering was applied for better imaging of informative features (diagnistically important details and structures). several models of image background were tested to desing an optimal filter, which is the best by expert criteria. Descriptions of processed images were made in terms of emphasized informative features, collected in the database, and used to find a decision rule, which presented an effective solution of medical tasks in easily interpretable form. Developed methods allowed to explicit some elements of human visual task structure into several simpler subtasks. It shows the approaches to effective learning the physicians and to automated computing some informative features directly in the image to realize expert-independet part of image analysis and description. The methods were tested in the task of early peripheral lung cancer diagnisis and gave an essential improvement of diagnostic accuracy for the physicians of different qualifications.

Słowa kluczowe

EN

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

• Wydawca: Institute of Information Technology of the Warsaw University of Life Sciences – SGGW
• Czasopismo: Machine Graphics and Vision
• Rocznik: 1998
• Tom: Vol. 7, No. 4
• Strony: 841--858
• Opis fizyczny: Bibliogr. 26 poz.

Twórcy

autor

Belikova T. P.

autor

Stenina I. I.

autor

Yashunskaya N. I.

• Institute for Information Transmission Problems, Russian Academy of Sciences B. Karetny, 19, 101447 Moscow, Russian,