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A filter-based approach towards automatic detection of microcalcification

Wu, ZQ, Jiang, J, Peng, YH and Gulsrud, TO (2006) A filter-based approach towards automatic detection of microcalcification Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 4046 L. pp. 424-432.

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To establish a practical CAD (Computer-Aided Diagnosis) system to facilitate the diagnosis of microcalcifications, we propose a filter-based technique to detect microcalcifications. Via examination of an existing optimal filter-based technique, it is found that its performance on highlighting the energy of mammograms is seriously affected by artefacts and the background of breast. As a result, four methods in pre and post-processing are described in this paper to improve the optimal filtering, leading to an adaptive selection of thresholds for input mammograms. These methods have been tested by using 30 mammograms (with 25 microcalcifications) from the MIAS database and 23 mammograms from DDSM database. Comparing with the original optimal filter-based technique, our technique reduces the false detections (FD), eliminates the influence of the background in mammograms and is able to adaptively select the threshold for the detection of microcalcifications. © Springer-Verlag Berlin Heidelberg 2006.

Item Type: Article
Divisions : Surrey research (other units)
Authors :
Wu, ZQ
Peng, YH
Gulsrud, TO
Date : 1 January 2006
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 12:24
Last Modified : 24 Jan 2020 22:11

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