Deep Learning-Based Feature Representation for AD/MCI Classification

@article{Suk2013DeepLF,
  title={Deep Learning-Based Feature Representation for AD/MCI Classification},
  author={Heung-Il Suk and Dinggang Shen},
  journal={Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention},
  year={2013},
  volume={16 Pt 2},
  pages={583-90}
}
In recent years, there has been a great interest in computer-aided diagnosis of Alzheimer's Disease (AD) and its prodromal stage, Mild Cognitive Impairment (MCI). Unlike the previous methods that consider simple low-level features such as gray matter tissue volumes from MRI, mean signal intensities from PET, in this paper, we propose a deep learning-based feature representation with a stacked auto-encoder. We believe that there exist latent complicated patterns, e.g., non-linear relations… CONTINUE READING
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