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Proceedings Paper

Comparison of approaches for risk-modulated CAD
Author(s): Maryellen Lissak Giger; Li Lan; Zhimin Huo; Carl J. Vyborny; Hui Li
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Paper Abstract

We compared computerized methods that incorporate automated lesion characterization and methods for the assessment of the breast parenchymal pattern on mammograms in order to better predict the pathological status of a breast lesion. Computer-extracted mass feature automatically characterized the shape, spiculation, contrast, and margin of each lesion. On the digitized mammogram of the contralateral breast, computer-extracted texture features were automatically extracted to characterize the radiographic breast parenchymal patterns. Three approaches were investigated. A computerized risk-modulated analysis system for mammographic images is expected to improve characterization of lesions by incorporating cancer-risk information into the decision-making process.

Paper Details

Date Published: 15 May 2003
PDF: 4 pages
Proc. SPIE 5032, Medical Imaging 2003: Image Processing, (15 May 2003); doi: 10.1117/12.481395
Show Author Affiliations
Maryellen Lissak Giger, Univ. of Chicago (United States)
Li Lan, Univ. of Chicago (United States)
Zhimin Huo, Eastman Kodak (United States)
Carl J. Vyborny, Univ. of Chicago (United States)
Hui Li, Univ. of Chicago (United States)


Published in SPIE Proceedings Vol. 5032:
Medical Imaging 2003: Image Processing
Milan Sonka; J. Michael Fitzpatrick, Editor(s)

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