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Proceedings Paper

Optimization of active-contour model parameters using genetic algorithms: segmentation of breast lesions in mammograms
Author(s): Yuan Xu; Scott Neu; Chester J. Ornes; Janis F. Owens; Jack Sklansky; Daniel J. Valentino
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Paper Abstract

Genetic algorithms (GA's) were used to find optimal sets of parameters for an active contour model (ACM) algorithm that segments breast lesions in mammography images. These parameters, which are typically determined empirically, are used in an energy function that is minimized by the ACM algorithm when producing a segmentation contour. Using manually segmented contours supplied by experienced radiologists, GA techniques were used to vary the parameter values until the contours produced by the ACM algorithm closely matched those of the radiologists.

Paper Details

Date Published: 9 May 2002
PDF: 9 pages
Proc. SPIE 4684, Medical Imaging 2002: Image Processing, (9 May 2002); doi: 10.1117/12.467106
Show Author Affiliations
Yuan Xu, Univ. of California/Los Angeles (United States)
Scott Neu, Univ. of California/Los Angeles (United States)
Chester J. Ornes, Charles R. Drew Univ. of Medicine and Science (United States)
Janis F. Owens, Charles R. Drew Univ. of Medicine and Science (United States)
Jack Sklansky, Charles R. Drew Univ. of Medicine and Science (United States)
Daniel J. Valentino, Univ. of California/Los Angeles (United States)


Published in SPIE Proceedings Vol. 4684:
Medical Imaging 2002: Image Processing
Milan Sonka; J. Michael Fitzpatrick, Editor(s)

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