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Proceedings Paper

Building multiple weak segmentors for strong mass segmentation in mammogram
Author(s): Yu Zhang; Noriko Tomuro; Jacob Furst; Daniela Stan Raicu
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Paper Abstract

This paper proposes to build multiple segmentations for identifying mass contours for a suspicious mass in a mammogram. In this study, by using various parameter settings of the image enhancement functions, we perform multiple segmentations for each suspicious mass (region of interest (ROI)), and multiple mass contours are generated. Each of such segmentations is called a "weak segmentor", since there is no single image enhancement which produces the optimal segmentation for all mass images. Then for each image, we select the contour which has the highest overlapping ratio as the final segmentation (i.e., the "strong segmentor"). The results show that the overall success rate (81.22%) of the strong segmentor was higher than that of any single weak segmentor. This indicates that using multiple weak segmentors is an effective method to generate a strong mass segmentation for mammograms.

Paper Details

Date Published: 14 March 2011
PDF: 8 pages
Proc. SPIE 7962, Medical Imaging 2011: Image Processing, 796233 (14 March 2011); doi: 10.1117/12.877450
Show Author Affiliations
Yu Zhang, DePaul Univ. (United States)
Noriko Tomuro, DePaul Univ. (United States)
Jacob Furst, DePaul Univ. (United States)
Daniela Stan Raicu, DePaul Univ. (United States)

Published in SPIE Proceedings Vol. 7962:
Medical Imaging 2011: Image Processing
Benoit M. Dawant; David R. Haynor, Editor(s)

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