Computer-aided detection of clustered microcalcifications in digitized mammograms

Academic Radiology
B ZhengD Gur

Abstract

We investigated a computer-aided detection (CAD) scheme for clustered microcalcifications in digitized mammograms. A multistage CAD scheme was developed and tested. To increase sensitivity, the scheme uses a Gaussian band-pass filter and nonlinear threshold. A multistage local minimum searching routine and a multilayer topographic feature analysis are used to reduce the false-positive detection rate. One hundred ten digitized mammograms were used in this preliminary test, with 55 images containing one or two verified microcalcification clusters. The CAD scheme achieved 100% sensitivity and had an average false-positive detection rate of 0.18 per image. The CAD scheme performs as well as many published schemes and has some unique advantages to further improve detection sensitivity and specificity of future CAD schemes.

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Citations

Jan 18, 2006·European Radiology·Ansgar MalichJoachim Böttcher
Apr 14, 2005·Journal of Digital Imaging·Ansgar MalichWerner A Kaiser
Jun 3, 2006·Journal of Digital Imaging·Silvia ObenauerEckhardt Grabbe
Oct 12, 2015·Journal of the American College of Radiology : JACR·H Benjamin HarveyGarry Choy
Mar 25, 2005·IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society·Sameer Singh, Keir Bovis
Oct 1, 1996·Academic Radiology·B ZhengD Gur
Feb 1, 2012·The Journal of International Medical Research·Y WangS Ma

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