A fuzzy segmentation algorithm for mammogram partitioning

TitleA fuzzy segmentation algorithm for mammogram partitioning
Publication TypeConference Paper
Year of Publication1996
AuthorsSameti, M., and R. K. Ward
EditorDoi, K., M. L. Giger, R. M. Nishikawa, and R. A. Schmidt
Conference NameDIGITAL MAMMOGRAPHY `96
Pagination471-474
PublisherBayer Corp, Agfa Div; Trex Med Corp, Bennett X Ray Technol Div; Eastman Kodak Co; Fischer Imaging Corp; Fuji Med Syst US Inc; Georgetown Univ, Dept Radiol; GE; Instrumentarium Corp; R2 Technol Inc; Sterling Diag Imaging Inc; Toshiba Corp; Univ Chicago, De
Conference LocationSARA BURGERHARTSTRAAT 25, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
ISBN Number0-444-82431-6
Abstract

An algorithm for segmentation of digital mammograms is developed based on the fuzzy set idea. The algorithm is intended to be part of a soft tissue abnormality (such as a mass) detection scheme. The algorithm divides a mammogram into different regions according to its intensity information. For those images which contain a lesion with brighter intensity than other patterns present in the mammogram, the algorithm can successfully detect the border of the lesion. The algorithm with four desired levels of segmentation was implemented and applied on a set of 20 mammographic images, each containing a malignant mass, and the algorithm was successful in segmenting each image into 4 regions. It also successfully detected the boundaries of those masses appearing brighter than other regions in each of the mammograms.

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