25 May 1989 Automatic Detection Of Microcalcifications In Digital Mammograms Using Local Area Thresholding Techniques
Author Affiliations +
Abstract
In this study the automatic detection of clusters of microcalcifications in digital mammograms was investigated. A local area thresholding technique was employed to segment all potential microcalcifications from the normal breast structure. These objects were then analysed using size, shape and gradient measures to extract clusters of microcalcifications. The results for a set of 25 mammographic regions, each 5.76 X 5.76 cm2 in area, show that the computer system can achieve 100% true positive cluster detection with a false positive rate of 12%.
© (1989) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
D. H. Davies, D. H. Davies, D. R. Dance, D. R. Dance, C. H. Jones, C. H. Jones, } "Automatic Detection Of Microcalcifications In Digital Mammograms Using Local Area Thresholding Techniques", Proc. SPIE 1092, Medical Imaging III: Image Processing, (25 May 1989); doi: 10.1117/12.953256; https://doi.org/10.1117/12.953256
PROCEEDINGS
9 PAGES


SHARE
Back to Top