Automatic Detection Of Microcalcifications In Digital Mammograms Using Local Area Thresholding Techniques

D. H. Davies; D. R. Dance; C. H. Jones

doi:10.1117/12.953256

25 May 1989 Automatic Detection Of Microcalcifications In Digital Mammograms Using Local Area Thresholding Techniques

D. H. Davies, D. R. Dance, C. H. Jones

Proceedings Volume 1092, Medical Imaging III: Image Processing; (1989) https://doi.org/10.1117/12.953256
Event: Medical Imaging III, 1989, Newport Beach, CA, United States

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%.

Citation Download Citation

D. H. Davies, D. R. Dance, and 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); https://doi.org/10.1117/12.953256

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