Robust extraction of diagnostic features of lesions from medical radiographic image

• Autorzy: Palenichka R. M. , Belikova T. P. , Ivasenko I.
• Konferencja: Conference on Computer Graphics and Image Processing, GKPO' 2000 (6 ; 15-19.05.2000 ; Polesie, Poland)
• Języki publikacji: EN

Abstrakty

EN

In this apper, a robust structural approach to detection, object segmentation and calculation of object features in medical images of different modalities is proposed. The goal of the presented approach is the detection and feature-based objective description of objects of interest in medical images for diagnosis of lesions in a natural way and in accordance with the physician diagnostic feature used in the clinical practice. A set of local structural features was divided in two classes: propetrties of planar object shape and intensity distribution prperties. Experimental results of the extraction of diagnostic properties of lessions on lung images confirmed the advantage of the proposed method over the conventional approach of histogram-based segmentation.

Słowa kluczowe

EN

image processing; robust regression; lesion detection

• Wydawca: Institute of Information Technology of the Warsaw University of Life Sciences – SGGW
• Czasopismo: Machine Graphics and Vision
• Rocznik: 2000
• Tom: Vol. 9, No. 1/2
• Strony: 473--496
• Opis fizyczny: Bibliogr. 14 poz.

Twórcy

autor

Palenichka R. M.

autor

Belikova T. P.

autor

Ivasenko I.

• Institute of Physics and Mechanics, Lviv, UKRAINE