Detection of Microcalcifications in Digital Mammograms

  title={Detection of Microcalcifications in Digital Mammograms},
  author={F. J. Lopez-Aligue and A. Poveda-Pierola and I. Acevedo-Sotoca and F. Garcia-Urra},
  journal={2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society},
A method is described for processing digital mammograms to detect microcalcifications that, although they may be so small that they are almost undetectable visually, could be indicators of a possible malignancy. The process consists of three stages. In the first, zones of the mammogram that potentially correspond to microcalcifications are extracted. This is done by analyzing the distribution of brightnesses over the entire mammogram, seeking structures that are typical of microcalcifications… CONTINUE READING
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Publications referenced by this paper.
Showing 1-10 of 10 references

Pisano and others “ Diagnostic Performance of Digital versus Film Mammographym for BreastCancer Screening

K. Drouiche G. Lemaur, J. DeConink
The New England Journal of Medicine • 2005

DeConink, “Highly Regular Wavelets for the Detection of Clustered Microcalcifications in Mammograms,”IEEE

G. Lemaur, K. Drouiche
Trans. Medical Imaging, • 2003
View 1 Excerpt

Computer-aided diagnosis in radiology.

Academic radiology • 2002
View 1 Excerpt

Better Breast Cancer Detection

S. K. Moore
IEEE Spectrum, vol. 38, no. 5, pp. 50-54, May 2001. • 2001
View 1 Excerpt

Fast Detection of Masses in Computer-Aided Mammography

I. Christotianni, E. Dermatas, G. Kokkinakis
IEEE Signal Processing, vol. 17, no. 1, pp. 54-64, 2000. TABLE II VALUES OF THE FUNCTIONS Sbin AND Srebin FOR MAMMOGRAM 1108, LEFT CRANIO-CAUDAL Cluster Γbin Γrebin Sbin Srebin 0 28 28 1,000 1,000 1 9 9 1,000 1,000 2 8 8 -0,500 -0,500 3 60 60 1,000 1,000 4 22 22 1,000 1,000 5 5 401 -80,600 -1,00 • 2000
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