Extraction of microcalcifications in digital mammograms using regional watershed

In this report, a novel technique is proposed for computer-aided automatic extraction of microcalcifications in a digital mammogram. First, the microcalcifications are detected by morphological filtering, followed by entropy-based thresholding. Next, the microcalcifications are segmented by computin...

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Bibliographic Details
Published in:	Journal of digital imaging Vol. 13; no. 2 Suppl 1; pp. 127 - 129
Main Authors:	Bhajammanavar, V M, Keong, K C, Krishnan, S M
Format:	Journal Article
Language:	English
Published:	United States Springer Nature B.V 01-05-2000 Springer-Verlag
Subjects:	Breast Neoplasms - diagnostic imaging Calcification (biochemistry) Calcinosis - diagnostic imaging Computer aided analysis Computer aided diagnosis Female Humans Image analysis Image reconstruction Image segmentation Mammography Mathematical models Oncology Radiographic Image Interpretation, Computer-Assisted Radiographic Magnification Sensitivity and Specificity Signal filtering and prediction Software Design
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Summary:	In this report, a novel technique is proposed for computer-aided automatic extraction of microcalcifications in a digital mammogram. First, the microcalcifications are detected by morphological filtering, followed by entropy-based thresholding. Next, the microcalcifications are segmented by computing regional watershed. The proposed automatic technique is designed to serve as a visual aid to radiologists. Its efficacy is demonstrated through experimental results.
Bibliography:	ObjectType-Article-2 SourceType-Scholarly Journals-2 ObjectType-Feature-1 content type line 23 SourceType-Conference Papers & Proceedings-1 ObjectType-Conference-3 ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2
ISSN:	0897-1889 1618-727X
DOI:	10.1007/BF03167642