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. Author manuscript; available in PMC: 2020 Aug 1.
Published in final edited form as: Alzheimers Dement. 2019 Jun 11;15(8):1059–1070. doi: 10.1016/j.jalz.2019.02.007

Fig. 1.

Fig. 1.

Schematic illustration of the deep learning based AD prognosis. (A) A general flowchart for training and validating the prognostic model. (B) Deep network architecture for data-driven hippocampus-based AD diagnosis. (C) residual block. L: left hippocampus; R: right hippocampus. (NC: cognitively normal control; AD: Alzheimer’s disease; MCI: mild cognitive impairment; Conv: convolutional layer; BN: batch normalization; ReLU: rectified linear unit; ResBlock: residual block; Concat: concatenation layer; FC: fully connected layer).