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- W2377168429 abstract "In order to enhance the accuracy of the early diagnosis for pancreatic cancer with pancreatic endoscopic ultrasonography(EUS),a method for the fractal feature extraction and EUS image classification was proposed to be applied in the computer-aided diagnosis of pancreatic EUS images.By modifying the M-band wavelet transform fractal feature based on the fractal dimension,the multifractal dimension was presented with the feature selection to obtain the multifractal feature vector of M-band wavelet transform.Three different classifiers,namely Bayes classifier,Support Vector Machine and AdaBoost,were used to classify the pancreatic EUS images.Experimental results showed that the classification based on the proposed fractal feature outperformed those based on the traditional fractal feature in both executing time and classifying accuracy.The proposed method has the potential to provide physicians a valuable opinion on the diagnosis of pancreatic cancer." @default.
- W2377168429 created "2016-06-24" @default.
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- W2377168429 date "2009-01-01" @default.
- W2377168429 modified "2023-09-25" @default.
- W2377168429 title "Pancreatic Endoscopic Ultrasonography Image Classification Based on Multifractal Feature of M-band Wavelet Transform" @default.
- W2377168429 hasPublicationYear "2009" @default.
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