Sequential weighted least squares algorithm for PET image reconstruction
Digital Signal Processing
Knowledge and Information Systems - Special Issue on Mining Low-Quality Data
Effective Emission Tomography Image Reconstruction Algorithms for SPECT Data
ICCS '08 Proceedings of the 8th international conference on Computational Science, Part I
Support vector machine approach to cardiac SPECT diagnosis
IWCIA'11 Proceedings of the 14th international conference on Combinatorial image analysis
SVM approach to classifying lesions in USG images with the use of the gabor decomposition
IDEAL'11 Proceedings of the 12th international conference on Intelligent data engineering and automated learning
Computer Aided Diagnosis tool for Alzheimer's Disease based on Mann-Whitney-Wilcoxon U-Test
Expert Systems with Applications: An International Journal
Functional activity maps based on significance measures and Independent Component Analysis
Computer Methods and Programs in Biomedicine
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This work presents a computer-aided diagnosis technique for improving the accuracy of the diagnosis of the Alzheimer's disease (AD) Some regions of the SPECT image discriminate more between healthy and AD patients than others, thus, it is important to design an automatic tool for selecting these regions This work shows the performance of the Mann-Whitney-Wilcoxon U-test, a non-parametric technique which allows to select voxels of interest Those voxels with higher U values are selected and their intensity values are used as input for a Support Vector Machine classifier with linear kernel The proposed methodology yields an accuracy greater than 90% in the diagnosis of the AD and outperforms existing techniques including the voxel-as-features approach.