Predicting Alzheimer's disease: a neuroimaging study with 3D convolutional neural networks

@inproceedings{Payan2015PredictingAD,
  title={Predicting Alzheimer's disease: a neuroimaging study with 3D convolutional neural networks},
  author={Adrien Payan and Giovanni Montana},
  booktitle={ICPRAM},
  year={2015}
}
Pattern recognition methods using neuroimaging data for the diagnosis of Alzheimer’s disease have been the subject of extensive research in recent years. In this paper, we use deep learning methods, and in particular sparse autoencoders and 3D convolutional neural networks, to build an algorithm that can predict the disease status of a patient, based on an MRI scan of the brain. We report on experiments using the ADNI data set involving 2,265 historical scans. We demonstrate that 3D… CONTINUE READING

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