Data mining and online recognition of mammographic images based on Haar wavelets, principal component analysis, and rough sets methods
Roman W. Świniarski, Trieu-Quang Luu, Anna K. Swiniarska, Hendra Tanto · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2001
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.