Comparison of approaches for risk-modulated CAD

Maryellen Lissak Giger; Li Lan; Zhimin Huo; Carl J. Vyborny; Hui Li

doi:10.1117/12.481395

15 May 2003 Comparison of approaches for risk-modulated CAD

Maryellen Lissak Giger, Li Lan, Zhimin Huo, Carl J. Vyborny, Hui Li

Proceedings Volume 5032, Medical Imaging 2003: Image Processing; (2003) https://doi.org/10.1117/12.481395
Event: Medical Imaging 2003, 2003, San Diego, California, United States

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.

Citation Download Citation

Maryellen Lissak Giger, Li Lan, Zhimin Huo, Carl J. Vyborny, and Hui Li "Comparison of approaches for risk-modulated CAD", Proc. SPIE 5032, Medical Imaging 2003: Image Processing, (15 May 2003); https://doi.org/10.1117/12.481395

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