Semi-supervised manifold learning with affinity regularization for Alzheimer's disease identification using positron emission tomography imaging

@article{Lu2015SemisupervisedML,
  title={Semi-supervised manifold learning with affinity regularization for Alzheimer's disease identification using positron emission tomography imaging},
  author={Shen Lu and Yong Xia and Tom Weidong Cai and David Dagan Feng},
  journal={2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)},
  year={2015},
  pages={2251-2254}
}
Dementia, Alzheimer's disease (AD) in particular is a global problem and big threat to the aging population. An image based computer-aided dementia diagnosis method is needed to providing doctors help during medical image examination. Many machine learning based dementia classification methods using medical imaging have been proposed and most of them achieve accurate results. However, most of these methods make use of supervised learning requiring fully labeled image dataset, which usually is… CONTINUE READING

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