Title :
On techniques for detecting circumscribed masses in mammograms
Author :
Lai, Shuk-Mei ; Li, Xiaobo ; Biscof, W.F.
Author_Institution :
Dept. of Comput. Sci., Alberta Univ., Edmonton, Alta., Canada
fDate :
12/1/1989 12:00:00 AM
Abstract :
A method for detecting one type of breast tumor, circumscribed masses, in mammograms is presented. It relies on a combination of criteria used by experts, including the shape, brightness contrast, and uniform density of tumor areas. The method uses modified median filtering to enhance mammogram images and template matching to detect the tumors. In the template matching step, suspicious areas are identified by thresholding the cross-correlation values, and a percentile method is used to determine a threshold for each film. In addition, two tests are used to remove false alarms from the resulting candidates. The results obtained by applying these techniques to a set of test images are described. They are judged encouraging
Keywords :
diagnostic radiography; picture processing; breast tumor; brightness contrast; circumscribed masses detection techniques; cross-correlation valves thresholding; false alarms; mammograms; median filtering; percentile method; template matching; test images; tumour density; tumour shape; Breast cancer; Breast neoplasms; Breast tumors; Brightness; Diseases; Humans; Image processing; Mammography; Shape; Testing;
Journal_Title :
Medical Imaging, IEEE Transactions on