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- W2086692783 abstract "Clustered microcalcifications (MCCs) on mammograms are an important early sign of breast cancer. An intelligent computer-aided diagnosis system can be very helpful for radiologist in detecting and diagnosing MCCs earlier than typical screening programs. In this paper, the detection algorithm is able to extract high-frequency signal and remove low-frequency background by exploiting a difference-image technique in which a signal-suppressed image is subtracted from a signal-enhanced image to remove the structured background in a mammogram. The difference image is thresholded to detect these MCCs in mammograms. The algorithm is tested with a series of clinical mammograms. A true positive rate ofmore than 75.5% is obtained at a false-positive (FP) detection of 2.18 per image" @default.
- W2086692783 created "2016-06-24" @default.
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- W2086692783 date "2002-09-04" @default.
- W2086692783 modified "2023-09-22" @default.
- W2086692783 title "<title>Automated detection for microcalcifications in digital mammograms using difference-image technique</title>" @default.
- W2086692783 doi "https://doi.org/10.1117/12.481577" @default.
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