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Combining data from different algorithms to segment the skin-air interface in mammograms

Masek, M., Attikiouzel, Y. and deSilva, C.J. (2000) Combining data from different algorithms to segment the skin-air interface in mammograms. In: Proceedings of the 22nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 23 - 28 July, Chicago, IL, USA pp. 1195-1198.

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Link to Published Version: http://dx.doi.org/10.1109/IEMBS.2000.897942
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Abstract

This paper presents a method for combining several different estimates of the mammographic skin-air interface in order to eliminate noise inherent to each individual segmentation algorithm. Given that each algorithm provides a binary mask of the breast, the first step is to isolate pixels adjacent to the skin-air interface. A final estimate of the skin-air interface for each point results from the combination of skin-air interface location data from each procedure. Data for each point is grouped as a set, upon which statistical operators, such as the elimination of outliers, are applied. Since the skin-air interface is a continuous line, data from prior points is also used as an estimate of points that follow. Results are evaluated in terms of success with the combination of two skin-air interface segmentation algorithms. The resulting `hybrid' technique overcomes several problems that beset each individual algorithm

Publication Type: Conference Paper
Publisher: IEEE
Copyright: © 2000 IEEE.
URI: http://researchrepository.murdoch.edu.au/id/eprint/19693
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