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- W2156473133 abstract "The idea of multiresolution analysis has been around for over two decades now. In this paper, we explore a multiresolution analysis based technique for histopathological image classification and compare it with raw image analysis. The principle idea for the former is to derive an optimal wavelet representation, called Adaptive Discriminant Wavelet Packet Transform (ADWPT), of the images in order to achieve the largest discrimination power. Our results show that the textural features combined with ADWPT yield a significant improvement in classification accuracy." @default.
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- W2156473133 date "2007-07-01" @default.
- W2156473133 modified "2023-09-26" @default.
- W2156473133 title "Comparative analysis of discriminant wavelet packet features and raw image features for classification of meningioma subtypes" @default.
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