26 June 2001 Data mining and online recognition of mammographic images based on Haar wavelets, principal component analysis, and rough sets methods
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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.
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Roman W. Swiniarski, T. Luu, Anna K. Swiniarska, H. Tanto, "Data mining and online recognition of mammographic images based on Haar wavelets, principal component analysis, and rough sets methods", Proc. SPIE 4324, Medical Imaging 2001: Image Perception and Performance, (26 June 2001); doi: 10.1117/12.431195; https://doi.org/10.1117/12.431195
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