Automated diagnosis of Alzheimer's disease using image similarity and user feedback

@inproceedings{Akgl2009AutomatedDO,
  title={Automated diagnosis of Alzheimer's disease using image similarity and user feedback},
  author={Ceyhun Burak Akg{\"u}l and Devrim {\"U}nay and Ahmet Ekin},
  booktitle={CIVR},
  year={2009}
}
In this work, we present a learning framework to help early diagnosis of Alzheimer's disease (AD) from magnetic resonance images using visual similarity and user feedback. Our approach relies on a nearest neighbor (NN) procedure where the similarity measure is obtained via on-line supervised learning. This framework differs from standard classification based medical diagnosis in that learning is always carried out on-line with a small training set, much like in relevance feedback-driven… CONTINUE READING

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