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Proceedings Paper

Data mining and online recognition of mammographic images based on Haar wavelets, principal component analysis, and rough sets methods
Author(s): Roman W. Swiniarski; T. Luu; Anna K. Swiniarska; H. Tanto
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Paper Abstract

The paper presents an application of 2D Haar wavelets, neural networks, principal component analysis, and rough sets based data mining methods for classification of mammographic images. The features from the mammographic images have been extracted based on the 2D Haar wavelets. The rough sets method has been applied for feature selection and data reduction.

Paper Details

Date Published: 26 June 2001
PDF: 7 pages
Proc. SPIE 4324, Medical Imaging 2001: Image Perception and Performance, (26 June 2001); doi: 10.1117/12.431195
Show Author Affiliations
Roman W. Swiniarski, San Diego State Univ. (United States)
T. Luu, San Diego State Univ. (United States)
Anna K. Swiniarska, San Diego State Univ. (United States)
H. Tanto, San Diego State Univ. (United States)


Published in SPIE Proceedings Vol. 4324:
Medical Imaging 2001: Image Perception and Performance
Elizabeth A. Krupinski; Dev Prasad Chakraborty, Editor(s)

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