Title :
A method for detection of malignant masses in digitized mammograms using a fuzzy segmentation algorithm
Author :
Sameti, Mohammad ; Ward, Rabab K. ; Morgan-Parkes, Jacqueline ; Palcic, Branko
Author_Institution :
Dept. of Cancer Imaging, British Columbia Cancer Res. Centre, Vancouver, BC, Canada
fDate :
30 Oct-2 Nov 1997
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 :
cancer; fuzzy set theory; image segmentation; image texture; mammography; medical image processing; CAD algorithm; computer-aided diagnosis; digitized mammograms; discrete texture features; fuzzy segmentation algorithm; malignant masses detection algorithm; mass candidate; medical diagnostic imaging; true-positive detection rate; Breast cancer; Cancer detection; Councils; Fuzzy sets; Image segmentation; Image texture analysis; Iterative algorithms; Lesions; Mammography; Pixel;
Conference_Titel :
Engineering in Medicine and Biology Society, 1997. Proceedings of the 19th Annual International Conference of the IEEE
Conference_Location :
Chicago, IL
Print_ISBN :
0-7803-4262-3
DOI :
10.1109/IEMBS.1997.757658
