Computer Aided Detection of Breast Masses from Digitized Mammograms

Han ZHANG  Say-Wei FOO  

IEICE TRANSACTIONS on Information and Systems   Vol.E89-D   No.6   pp.1955-1961
Publication Date: 2006/06/01
Online ISSN: 1745-1361
DOI: 10.1093/ietisy/e89-d.6.1955
Print ISSN: 0916-8532
Type of Manuscript: PAPER
Category: Biological Engineering
computer aided detection,  breast cancer,  breast masses,  mammography,  segmentation,  

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In this paper, an automated computer-aided-detection scheme is proposed to identify and locate the suspicious masses in the abnormal breasts from the full mammograms. Mammograms are examined using a four-stage detection method including pre-processing, identification of local maxima, seeded region-growing, and false positive (FP) reduction. This method has been applied to the entire Mammographic Image Analysis Society (MIAS) database of 322 digitized mammograms containing 59 biopsy-proven masses in 56 images. Results of detection show 95% true positive (TP) fraction at 1.9 FPs per image for the 56 images and 1.3 FPs per image for the entire database.