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Proceedings Paper

Automatic detection of clustered microcalcifications in digital mammograms based on wavelet features and neural network classification
Author(s): Songyang Yu; Ling Guan; Stephen Brown
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Paper Abstract

The appearance of clustered microcalcifications in mammogram films is one of the important early signs of breast cancer. This paper presents a new image processing system for the automatic detection of clustered microcalcifications in digitized mammogram films. The detection method uses wavelet features and feed forward neural network to find possible microcalcifications pixels and a set of features to locate individual microcalcifications.

Paper Details

Date Published: 24 June 1998
PDF: 7 pages
Proc. SPIE 3338, Medical Imaging 1998: Image Processing, (24 June 1998); doi: 10.1117/12.310887
Show Author Affiliations
Songyang Yu, Univ. of Sydney (Australia)
Ling Guan, Univ. of Sydney (Canada)
Stephen Brown, CSIRO Telecommunications and Industrial Physics (Australia)


Published in SPIE Proceedings Vol. 3338:
Medical Imaging 1998: Image Processing
Kenneth M. Hanson, Editor(s)

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