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Proceedings Paper

Automatic Detection Of Microcalcifications In Digital Mammograms Using Local Area Thresholding Techniques
Author(s): D. H. Davies; D. R. Dance; C. H. Jones
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Paper 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%.

Paper Details

Date Published: 25 May 1989
PDF: 9 pages
Proc. SPIE 1092, Medical Imaging III: Image Processing, (25 May 1989); doi: 10.1117/12.953256
Show Author Affiliations
D. H. Davies, Institute Of Cancer Research And The Royal Marsden Hospital (United Kingdom)
D. R. Dance, Institute Of Cancer Research And The Royal Marsden Hospital (United Kingdom)
C. H. Jones, Institute Of Cancer Research And The Royal Marsden Hospital (United Kingdom)


Published in SPIE Proceedings Vol. 1092:
Medical Imaging III: Image Processing
Samuel J. Dwyer; R. Gilbert Jost; Roger H. Schneider, Editor(s)

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