A method for detection of malignant masses in digitized mammograms using a fuzzy segmentation algorithm

TitleA method for detection of malignant masses in digitized mammograms using a fuzzy segmentation algorithm
Publication TypeConference Paper
Year of Publication1997
AuthorsSameti, M., R. K. Ward, J. Morgan-Parkes, and B. Palcic
Conference NameEngineering in Medicine and Biology Society, 1997. Proceedings of the 19th Annual International Conference of the IEEE
Pagination513 -516 vol.2
Date Publishedoct.
KeywordsCAD algorithm, cancer, computer-aided diagnosis, digitized mammograms, discrete texture features, fuzzy segmentation algorithm, fuzzy set theory, image segmentation, image texture, malignant masses detection algorithm, mammography, mass candidate, medical diagnostic imaging, medical image processing, true-positive detection rate
Abstract

An algorithm for detection of masses in digitized mammograms is developed. In the first step, the algorithm employs a segmentation method based on the idea of fuzzy sets to divide a mammogram into different regions and produces some mass candidates. In the second step, some discrete texture features are calculated for the area of each mass candidate. Two of those feature were sufficient to produce a 94% true-positive detection rate with a low 0.24 false-positives per image for a data set of 35 mammograms with a malignant mass in each

URLhttp://dx.doi.org/10.1109/IEMBS.1997.757658
DOI10.1109/IEMBS.1997.757658

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