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

M. Masek; Y. Attikiouzel; C.J. deSilva

doi:10.1109/IEMBS.2000.897942

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

Conference paper

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

M. Masek, Y. Attikiouzel and C.J. deSilva

Proceedings of the 22nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (Cat. No.00CH37143), Vol.2, pp.1195-1198

IEEE

Proceedings of the 22nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (Chicago, IL, USA, 23/07/2000–28/07/2000)

2000

DOI: https://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

Details

Title: Combining data from different algorithms to segment the skin-air interface in mammograms
Authors/Creators: M. Masek (Author/Creator) - The University of Western Australia
Y. Attikiouzel (Author/Creator) - Department of Physics, Mathematics and Informatics
C.J. deSilva (Author/Creator) - Department of Physics, Mathematics and Informatics
Publication Details: Proceedings of the 22nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (Cat. No.00CH37143), Vol.2, pp.1195-1198
Conference: Proceedings of the 22nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (Chicago, IL, USA, 23/07/2000–28/07/2000)
Publisher: IEEE
Identifiers: 991005541919807891
Murdoch Affiliation: Murdoch University
Language: English
Resource Type: Conference paper

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