Titlebook: Machine Learning in Medical Imaging; First International Fei Wang,Pingkun Yan,Dinggang Shen Conference proceedings 2010 Springer-Verlag Be

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Patch-Based Generative Shape Model and MDL Model Selection for Statistical Analysis of Archipelagose our intention is to model the appearance and shapes of calcifications in x-ray radio graphs. The generative model is constructed by (1) learning a patch-based dictionary for possible shapes, (2) building up a time-homogeneous Markov model to model the neighbourhood correlations between the patches

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先行

Multi-Class Sparse Bayesian Regression for Neuroimaging Data Analysis,ages. In particular, finding regions of the brain whose functional signal reliably predicts some behavioral information makes it possible to better understand how this information is encoded or processed in the brain. However, such a prediction is performed through regression or classification algor

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Parallel Mean Shift for Interactive Volume Segmentation,translates the volume data into a joint position-color feature space subdivided uniformly by bandwidths, and then clusters points in feature space in parallel by iteratively finding its peak point. Over iterations it improves the convergent rate by dynamically updating data points via path transmiss

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Expertise

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A Bayesian Learning Application to Automated Tumour Segmentation for Tissue Microarray Analysis,ated method in tumour detection on routine histochemical images for TMA construction is under developed. This paper presents a MRF based Bayesian learning system for automated tumour cell detection in routine histochemical virtual slides to assist TMA construction. The experimental results show that

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