Classification of Alzheimer’s Disease Based on Eight-Layer Convolutional Neural Network with Leaky Rectified Linear Unit and Max Pooling

@article{Wang2018ClassificationOA,
  title={Classification of Alzheimer’s Disease Based on Eight-Layer Convolutional Neural Network with Leaky Rectified Linear Unit and Max Pooling},
  author={Shuihua Wang and Preetha Phillips and Yuxiu Sui and Bin Liu and Ming Wei Yang and Hong Cheng},
  journal={Journal of Medical Systems},
  year={2018},
  volume={42},
  pages={1-11}
}
Alzheimer’s disease (AD) is a progressive brain disease. The goal of this study is to provide a new computer-vision based technique to detect it in an efficient way. The brain-imaging data of 98 AD patients and 98 healthy controls was collected using data augmentation method. Then, convolutional neural network (CNN) was used, CNN is the most successful tool in deep learning. An 8-layer CNN was created with optimal structure obtained by experiences. Three activation functions (AFs): sigmoid… CONTINUE READING

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