Deep-learning-based classification of FDG-PET data for Alzheimer's disease categories

@inproceedings{Singh2017DeeplearningbasedCO,
  title={Deep-learning-based classification of FDG-PET data for Alzheimer's disease categories},
  author={Shibani Singh and Anant Srivastava and Liang Mi and Richard J. Caselli and Kewei Chen and Dhruman Goradia and Eric M. Reiman and Yalin Wang},
  booktitle={Symposium on Medical Information Processing and Analysis},
  year={2017}
}
Fluorodeoxyglucose (FDG) positron emission tomography (PET) measures the decline in the regional cerebral metabolic rate for glucose, offering a reliable metabolic biomarker even on presymptomatic Alzheimer’s disease (AD) patients. PET scans provide functional information that is unique and unavailable using other types of imaging. However, the computational efficacy of FDG-PET data alone, for the classification of various Alzheimers Diagnostic categories, has not been well studied. This… 
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