@conference {Sameti1997A-method-for-de,
title = {A method for detection of malignant masses in digitized mammograms using a fuzzy segmentation algorithm},
booktitle = {Engineering in Medicine and Biology Society, 1997. Proceedings of the 19th Annual International Conference of the IEEE},
volume = {2},
year = {1997},
month = {oct.},
pages = {513 -516 vol.2},
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},
keywords = {CAD 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},
issn = {1094-687X},
doi = {10.1109/IEMBS.1997.757658},
url = {http://dx.doi.org/10.1109/IEMBS.1997.757658},
author = {Sameti, M. and Ward, R.K. and Morgan-Parkes, J. and Palcic, B.}
}