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Proceedings Paper

Image feature extraction for mass detection in digital mammography: effects of wavelet analysis
Author(s): Lihua Li; Wei Qian; Laurence P. Clarke
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Paper Abstract

Multiresolution and multiorientation wavelet transforms (WTs), as the key CAD modules, were used in our previous study of CAD mass detection. The objective of this paper is to evaluate the roles of these WTs modules in the proposed CAD approach. A statistical analysis of the effects of WTs on image feature extraction for mass detection is taken including the effects of WTs on mass segmentation and a comparative study of discrimination ability of features extracted with WTs based and non-WTs based segmentation method. Three indexes are proposed to asses the segmentation. The effects of WTs on feature extraction are evaluated using ROC analysis of the feature discrimination ability. The statistical analysis demonstrates that the use of WTs modules results in a significant improvement in feature extraction for the previously proposed CAD mass detection method. The improvement, however, depends on the feature characteristics, large for boundary-related features while small for intensity-related features.

Paper Details

Date Published: 24 June 1998
PDF: 9 pages
Proc. SPIE 3338, Medical Imaging 1998: Image Processing, (24 June 1998); doi: 10.1117/12.310843
Show Author Affiliations
Lihua Li, Univ. of South Florida (United States)
Wei Qian, Univ. of South Florida and H. Lee Moffitt Cancer Ctr. and Research Institute/Univ. of Sout (United States)
Laurence P. Clarke, Univ. of South Florida and H. Lee Moffitt Cancer Ctr. and Research Institute/Univ. of Sout (United States)


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

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