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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
Published in:
Engineering in Medicine and Biology Society, 1997. Proceedings of the 19th Annual International Conference of the IEEE
(Volume:2
)
Date of Conference: 30 Oct-2 Nov 1997
- Page(s):
- 513 - 516 vol.2
- Meeting Date :
- 30 Oct 1997-02 Nov 1997
- ISSN :
- 1094-687X
- Print ISBN:
- 0-7803-4262-3
- INSPEC Accession Number:
- 6226615
- Conference Location :
- Chicago, IL
- Digital Object Identifier :
- 10.1109/IEMBS.1997.757658
- Product Type:
- Conference Publications
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