Titlebook: Medical Biometrics; Second International David Zhang,Milan Sonka Conference proceedings 2010 Springer-Verlag Berlin Heidelberg 2010 Cluster

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A New Multi-Task Learning Technique to Predict Classification of Leukemia and Prostate Cancerroposed MTSVSL method is a novel approach which is expedient and perform exceptionally well in cancer diagnosis and clinical outcome prediction. Our method has been successfully applied to cancer type-based classifications on microarray gene expression datasets, and furthermore, MTSVSL improves the accuracy of traditional BPNN technique.

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Tongue Image Identification System on Congestion of Fungiform Papillae (CFP)for reflective points, we apply the Gabor filter banks and Bayesian Network to identify the texture blocks. Finally, a fusion strategy is employed to model the relationship between the image classes and the presence of CFP. The results are promising.

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Optic Disc Detection by Multi-scale Gaussian Filtering with Scale Production and a Vessels’ Directioxel with the smallest difference designated the OD center. We tested the proposed method on a subset of a new database consisting of 139 images from a diabetic retinopathy (DR) screening programme. The OD center was successfully detected with an accuracy of 96.4% (134/139).

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A DIAMOND Method for Classifying Biological Datauce classification rules with better rates of accuracy, support and compactness. Two practical data sets, one of HSV patient results and the other of Iris flower, are tested to illustrate the advantages of DIAMOND over some current methods.

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