Automatic Classification of SPECT Images of Alzheimer's Disease Patients and Control Subjects

@inproceedings{Stoeckel2004AutomaticCO,
  title={Automatic Classification of SPECT Images of Alzheimer's Disease Patients and Control Subjects},
  author={Jonathan Stoeckel and Nicholas Ayache and Gr{\'e}goire Malandain and Pierre Malick Koulibaly and Klaus P. Ebmeier and Jacques Darcourt},
  booktitle={MICCAI},
  year={2004}
}
In this article we study the use of SPECT perfusion imaging for the diagnosis of Alzheimer’s disease. We present a classifier based approach that does not need any explicit knowledge about the pathology. We directly use the voxel intensities as features. This approach is compared with three classical approaches: regions of interests, statistical parametric mapping and visual analysis which is the most commonly used method. We tested our method both on simulated and on real data. The realistic… CONTINUE READING
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Applications of Gaussian mixture models and mean squared error within DatSCAN SPECT imaging

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