Abstract：
RATIONALE AND OBJECTIVES:We investigated a computer-aided detection (CAD) scheme for clustered microcalcifications in digitized mammograms. METHODS: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. RESULTS:The CAD scheme achieved 100% sensitivity and had an average false-positive detection rate of 0.18 per image. CONCLUSION: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.
journal_name
Acad Radioljournal_title
Academic radiologyauthors
Zheng B,Chang YH,Staiger M,Good W,Gur Ddoi
10.1016/s1076-6332(05)80431-3subject
Has Abstractpub_date
1995-08-01 00:00:00pages
655-62issue
8eissn
1076-6332issn
1878-4046journal_volume
2pub_type
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